Högskolan i Skövde

his.sePublications
Change search
Refine search result
12345 1 - 50 of 236
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Rows per page
  • 5
  • 10
  • 20
  • 50
  • 100
  • 250
Sort
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
  • Standard (Relevance)
  • Author A-Ö
  • Author Ö-A
  • Title A-Ö
  • Title Ö-A
  • Publication type A-Ö
  • Publication type Ö-A
  • Issued (Oldest first)
  • Issued (Newest first)
  • Created (Oldest first)
  • Created (Newest first)
  • Last updated (Oldest first)
  • Last updated (Newest first)
  • Disputation date (earliest first)
  • Disputation date (latest first)
Select
The maximal number of hits you can export is 250. When you want to export more records please use the Create feeds function.
  • 1.
    Almirón Santa-Bárbara, Rafael
    et al.
    Department of Orthopaedic Surgery and Traumatology, Hospital de Antequera, Malaga, Spain ; School of Medicine, Universidad de Málaga, Spain.
    García Rivera, Francisco
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Lamb, Maurice
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Víquez Da-Silva, Rodrigo
    Department of Orthopaedic Surgery and Traumatology, Hospital Universitario Virgen de la Victoria, Málaga, Spain.
    Gutiérrez Bedmar, Mario
    Preventive Medicine and Public Health Department, School of Medicine, University of Málaga, Spain ; Biomedical Research Institute of Malaga-IBIMA, Spain ; CIBERCV Cardiovascular Diseases, Carlos III Health Institute, Madrid, Spain.
    New technologies for the classification of proximal humeral fractures: Comparison between Virtual Reality and 3D printed models—a randomised controlled trial2023In: Virtual Reality, ISSN 1359-4338, E-ISSN 1434-9957, Vol. 27, no 3, p. 1623-1634Article in journal (Refereed)
    Abstract [en]

    Correct classification of fractures according to their patterns is critical for developing a treatment plan in orthopaedic surgery. Unfortunately, for proximal humeral fractures (PHF), methods for proper classification have remained a jigsaw puzzle that has not yet been fully solved despite numerous proposed classifications and diagnostic methods. Recently, many studies have suggested that three-dimensional printed models (3DPM) can improve the interobserver agreement on PHF classifications. Moreover, Virtual Reality (VR) has not been properly studied for classification of shoulder injuries. The current study investigates the PHF classification accuracy relative to an expert committee when using either 3DPM or equivalent models displayed in VR among 36 orthopaedic surgery residents from different hospitals. We designed a multicentric randomised controlled trial in which we created two groups: a group exposed to a total of 34 3DPM and another exposed to VR equivalents. Association between classification accuracy and group assignment (VR/3DPM) was assessed using mixed effects logistic regression models. The results showed VR can be considered a non-inferior technology for classifying PHF when compared to 3DPM. Moreover, VR may be preferable when considering possible time and resource savings along with potential uses of VR for presurgical planning in orthopaedics. 

    Download full text (pdf)
    fulltext
  • 2.
    Amouzgar, Kaveh
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Andersson, Tobias
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Metamodel based multi-objective optimization of a turning process by using finite element simulation2020In: Engineering optimization (Print), ISSN 0305-215X, E-ISSN 1029-0273, Vol. 52, no 7, p. 1261-1278Article in journal (Refereed)
    Abstract [en]

    This study investigates the advantages and potentials of the metamodelbased multi-objective optimization (MOO) of a turning operation through the application of finite element simulations and evolutionary algorithms to a metal cutting process. The objectives are minimizing the interface temperature and tool wear depth obtained from FE simulations using DEFORM2D software, and maximizing the material removal rate. Tool geometry and process parameters are considered as the input variables. Seven metamodelling methods are employed and evaluated, based on accuracy and suitability. Radial basis functions with a priori bias and Kriging are chosen to model tool–chip interface temperature and tool wear depth, respectively. The non-dominated solutions are found using the strength Pareto evolutionary algorithm SPEA2 and compared with the non-dominated front obtained from pure simulation-based MOO. The metamodel-based MOO method is not only advantageous in terms of reducing the computational time by 70%, but is also able to discover 31 new non-dominated solutions over simulation-based MOO.

    Download full text (pdf)
    fulltext
  • 3.
    Amouzgar, Kaveh
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Sweden.
    Ljustina, Goran
    Volvo Car Corporation, ME PS Research and Technology, Skövde, Sweden.
    Optimizing index positions on CNC tool magazines considering cutting tool life and duplicates2020In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 93, p. 1508-1513Article in journal (Refereed)
    Abstract [en]

    Minimizing the non-machining time of CNC machines requires optimal positioning of cutting tools on indexes (stations) of CNC machine turret magazine. This work presents a genetic algorithm with a novel solution representation and genetic operators to find the best possible index positions while tool duplicates and tools life are taken in to account during the process. The tool allocation in a machining process of a crankshaft with 10 cutting operations, on a 45-index magazine, is optimized for the entire life of the tools on the magazine. The tool-indexing time is considerably reduced compared to the current index positions being used in an automotive factory. 

    Download full text (pdf)
    fulltext
  • 4.
    Amouzgar, Kaveh
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University.
    Nourmohammadi, Amir
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University.
    Multi-objective optimisation of tool indexing problem: a mathematical model and a modified genetic algorithm2021In: International Journal of Production Research, ISSN 0020-7543, E-ISSN 1366-588X, Vol. 59, no 12, p. 3572-3590Article in journal (Refereed)
    Abstract [en]

    Machining process efficiencies can be improved by minimising the non-machining time, thereby resulting in short operation cycles. In automatic-machining centres, this is realised via optimum cutting tool allocation on turret-magazine indices – the “tool-indexing problem”. Extant literature simplifies TIP as a single-objective optimisation problem by considering minimisation of only the tool-indexing time. In contrast, this study aims to address the multi-objective optimisation tool indexing problem (MOOTIP) by identifying changes that must be made to current industrial settings as an additional objective. Furthermore, tool duplicates and lifespan have been considered. In addition, a novel mathematical model is proposed for solving MOOTIP. Given the complexity of the problem, the authors suggest the use of a modified strength Pareto evolutionary algorithm combined with a customised environment-selection mechanism. The proposed approach attained a uniform distribution of solutions to realise the above objectives. Additionally, a customised solution representation was developed along with corresponding genetic operators to ensure the feasibility of solutions obtained. Results obtained in this study demonstrate the realization of not only a significant (70%) reduction in non-machining time but also a set of tradeoff solutions for decision makers to manage their tools more efficiently compared to current practices. 

    Download full text (pdf)
    fulltext
  • 5.
    Arjomandi Rad, Mohammad
    et al.
    Department of Industrial and Materials Science, Chalmers University of Technology, Göteborg, Sweden.
    Cenanovic, Mirza
    Department of Product Development, Production and Design, Jönköping University, Sweden.
    Salomonsson, Kent
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Image regression-based digital qualification for simulation-driven design processes, case study on curtain airbag2023In: Journal of engineering design (Print), ISSN 0954-4828, E-ISSN 1466-1837, Vol. 34, no 1, p. 1-22Article in journal (Refereed)
    Abstract [en]

    Today digital qualification tools are part of many design processes that make them dependent on long and expensive simulations, leading to limited ability in exploring design alternatives. Conventional surrogate modelling techniques depend on the parametric models and come short in addressing radical design changes. Existing data-driven models lack the ability in dealing with the geometrical complexities. Thus, to address the resulting long development lead time problem in the product development processes and to enable parameter-independent surrogate modelling, this paper proposes a method to use images as input for design evaluation. Using a case study on the curtain airbag design process, a database consisting of 60,000 configurations has been created and labelled using a method based on dynamic relaxation instead of finite element methods. The database is made available online for research benchmark purposes. A convolutional neural network with multiple layers is employed to map the input images to the simulation output. It was concluded that the showcased data-driven method could reduce digital testing and qualification time significantly and contribute to real-time analysis in product development. Designers can utilise images of geometrical information to build real-time prediction models with acceptable accuracy in the early conceptual phases for design space exploration purposes.

    Download full text (pdf)
    fulltext
  • 6.
    Aslam, Tehseen
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Goienetxea Uriarte, Ainhoa
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Svensson, Henrik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Education of the Future: Learnings and Experiences from Offering Education to Industry Professionals2022In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 665-676Conference paper (Refereed)
    Abstract [en]

    Digitalization is forcing the industry to rethink current practices in all business domains, pushing for a digital transformation of business and operations at a high rate and, thus, paving the way for new business models and making others redundant. For small and medium-sized companies (SME), in particular, it is an enormous challenge to keep up with the pace of technological development. Several initiatives have argued the industry’s need for continuous digitalization, innovation, transformation ability, and future skills and competencies development. However, the advancement of the Swedish industry in this area has been uneven, where larger organizations have begun their digital transformation journey to some extent, but SMEs risk falling behind. In addition to the technological transformation, the challenges regarding the industries’ skills supply need to be solved, where a workforce with the right competencies, knowledge, and skill sets are equally, if not more, important for remaining competitive. One of the key elements to face these challenges in the companies will be to recruit knowledgeable employees or re-skill the existing ones. Efficient access to relevant knowledge and skills is still a major concern for companies that will surely affect their competitiveness for a long time to come. This paper elaborates on the opportunities and challenges that Swedish universities face in the context of lifelong learning and education for industry professionals. The paper presents results and experiences gained from a lifelong learning project for industry professionals at the University of Skövde in collaboration with ten industry partners. The results from the project show that in addition to pedagogical methods, current structures and policies within academia need to be further developed to effectively serve industry professionals. The paper also presents a concept of education for industry professionals in the lifelong learning context based on the results and experience gained from the project.

    Download full text (pdf)
    fulltext
  • 7.
    Ayani, Mikel
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ganebäck, Maria
    Projektengagemang Industri & Energi Sverige AB, El & Automation, Skövde, Sweden.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Digital Twin: Applying emulation for machine reconditioning2018In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 243-248Article in journal (Refereed)
    Abstract [en]

    Old machine reconditioning projects extend the life length of machines with reduced investments, however they frequently involve complex challenges. Due to the lack of technical documentation and the fact that the machines are running in production, they can require a reverse engineering phase and extremely short commissioning times. Recently, emulation software has become a key tool to create Digital Twins and carry out virtual commissioning of new manufacturing systems, reducing the commissioning time and increasing its final quality. This paper presents an industrial application study in which an emulation model is used to support a reconditioning project and where the benefits gained in the working process are highlighted.

    Download full text (pdf)
    fulltext
  • 8.
    Babajanyan, Diana
    et al.
    School of Psychological Sciences, Macquarie University, Sydney, 2109, NSW, Australia.
    Patil, Gaurav
    School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia.
    Lamb, Maurice
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Kallen, Rachel W.
    School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia.
    Richardson, Michael J.
    School of Psychological Sciences, Centre for Elite, Performance, Expertise and Training, Macquarie University, Sydney, 2109, NSW, Australia.
    I Know Your Next Move: Action Decisions in Dyadic Pick and Place Tasks2022In: Proceedings of the 44th Annual Conference of the Cognitive Science Society / [ed] J. Culbertson; A. Perfors; H. Rabagliati; V. Ramenzoni, Cognitive Science Society, Inc., 2022, p. 563-570Conference paper (Refereed)
    Abstract [en]

    Joint pick and place tasks occur in many interpersonal scenarios, such as when two people pick up and pass dishes. Previous studies have demonstrated that low-dimensional models can accurately capture the dynamics of pick and place motor behaviors in a controlled 2D environment. The current study models the dynamics of pick-up and pass decisions within a less restrictive virtual reality mediated 3D joint pick and place task. Findings indicate that reach-normalized distance measures, between participants and objects/targets, could accurately predict pick-up and pass decisions. Findings also reveal that participants took longer to pick-up objects where division of labor boundaries were less obvious and tended to pass in locations maximizing the dyad's efficiency. This study supports the notion that individuals are more likely to engage in interpersonal behavior when a task goal is perceived as difficult or unattainable (i.e., not afforded). Implications of findings for human-artificial agent interactions are discussed. 

    Download full text (pdf)
    fulltext
  • 9.
    Bandaru, Sunith
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Trend Mining: A Visualization Technique to Discover Variable Trends in the Objective Space2019In: Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / [ed] Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coello; Kathrin Klamroth; Kaisa Miettinen; Sanaz Mostaghim; Patrick Reed, Cham, Switzerland: Springer, 2019, Vol. 11411, p. 605-617Conference paper (Refereed)
    Abstract [en]

    Practical multi-objective optimization problems often involve several decision variables that influence the objective space in different ways. All variables may not be equally important in determining the trade-offs of the problem. Decision makers, who are usually only concerned with the objective space, have a hard time identifying such important variables and understanding how the variables impact their decisions and vice versa. Several graphical methods exist in the MCDM literature that can aid decision makers in visualizing and navigating high-dimensional objective spaces. However, visualization methods that can specifically reveal the relationship between decision and objective space have not been developed so far. We address this issue through a novel visualization technique called trend mining that enables a decision maker to quickly comprehend the effect of variables on the structure of the objective space and easily discover interesting variable trends. The method uses moving averages with different windows to calculate an interestingness score for each variable along predefined reference directions. These scores are presented to the user in the form of an interactive heatmap. We demonstrate the working of the method and its usefulness through a benchmark and two engineering problems.

    Download full text (pdf)
    fulltext
  • 10.
    Bandaru, Sunith
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Smedberg, Henrik
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    A parameterless performance metric for reference-point based multi-objective evolutionary algorithms2019In: GECCO '19: Proceedings of the Genetic and Evolutionary Computation Conference / [ed] Manuel López-Ibáñez, New York, NY, USA: ACM Digital Library, 2019, p. 499-506Conference paper (Refereed)
    Abstract [en]

    Most preference-based multi-objective evolutionary algorithms use reference points to articulate the decision maker's preferences. Since these algorithms typically converge to a sub-region of the Pareto-optimal front, the use of conventional performance measures (such as hypervolume and inverted generational distance) may lead to misleading results. Therefore, experimental studies in preference-based optimization often resort to using graphical methods to compare various algorithms. Though a few ad-hoc measures have been proposed in the literature, they either fail to generalize or involve parameters that are non-intuitive for a decision maker. In this paper, we propose a performance metric that is simple to implement, inexpensive to compute, and most importantly, does not involve any parameters. The so called expanding hypercube metric has been designed to extend the concepts of convergence and diversity to preference optimization. We demonstrate its effectiveness through constructed preference solution sets in two and three objectives. The proposed metric is then used to compare two popular reference-point based evolutionary algorithms on benchmark optimization problems up to 20 objectives.

    Download full text (pdf)
    paper
  • 11.
    Barrera Diaz, Carlos Alberto
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Simulation-based multi-objective optimization for reconfigurable manufacturing systems: Reconfigurability, manufacturing, simulation, optimization, rms, multi-objective, knowledge discovery2023Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    In today’s global and aggressive market system, for manufacturing companies to remain competitive, they must manufacture high-quality products that can be produced at a low cost; they also must respond efficiently to customers’ predictable and unpredictable needs and demand variations. Increasingly shortened product lifecycles, as well as product customization degrees, lead to swift changes in the market that need to be supported by capable and flexible resources able to produce faster and deliver to the market in shorter periods while maintaining a high degree of cost-efficiency. To cope with all these challenges, the setup of production systems needs to shift toward Reconfigurable Manufacturing Systems (RMSs), making production capable of rapidly and economically changing its functionality and capacity to face uncertainties, such as unforeseen market variations and product changes. Despite the advantages of RMSs, designing and managing these systems to achieve a high-efficiency level is a complex and challenging task that requires optimization techniques. Simulation-based optimization (SBO) methods have been proven to improve complex manufacturing systems that are affected by predictable and unpredictable events. However, the use of SBO methods to tackle challenging RMS design and management processes is underdeveloped and rarely involves Multi-Objective Optimization (MOO). Only a few attempts have applied Simulation-Based Multi-Objective Optimization (SMO) to simultaneously deal with multiple conflictive objectives. Furthermore, due to the intrinsic complexity of RMSs, manufacturing organizations that embrace this type of system struggle with areas such as system configuration, number of resources, and task assignment. Therefore, this dissertation contributes to such areas by employing SMO to investigate the design and management of RMSs. The benefits for decision-makers have been demonstrated when SMO is employed toward RMS-related challenges. These benefits have been enhanced by combining SMO with knowledge discovery and Knowledge-Driven Optimization (KDO). This combination has contributed to current research practices proving to be an effective and supportive decision support tool for manufacturing organizations when dealing with RMS challenges.

    Download full text (pdf)
    fulltext
  • 12.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Aslam, Tehseen
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Optimizing Reconfigurable Manufacturing Systems for Fluctuating Production Volumes: A Simulation-Based Multi-Objective Approach2021In: IEEE Access, E-ISSN 2169-3536, Vol. 9, p. 144195-144210Article in journal (Refereed)
    Abstract [en]

    In today’s global and volatile market, manufacturing enterprises are subjected to intense global competition, increasingly shortened product lifecycles and increased product customization and tailoring while being pressured to maintain a high degree of cost-efficiency. As a consequence, production organizations are required to introduce more new product models and variants into existing production setups, leading to more frequent ramp-up and ramp-down scenarios when transitioning from an outgoing product to a new one. In order to cope with such as challenge, the setup of the production systems needs to shift towards reconfigurable manufacturing systems (RMS), making production capable of changing its function and capacity according to the product and customer demand. Consequently, this study presents a simulation-based multi-objective optimization approach for system re-configuration of multi-part flow lines subjected to scalable capacities, which addresses the assignment of the tasks to workstations and buffer allocation for simultaneously maximizing throughput and minimizing total buffer capacity to cope with fluctuating production volumes. To this extent, the results from the study demonstrate the benefits that decision-makers could gain, particularly when they face trade-off decisions inherent in today’s manufacturing industry by adopting a Simulation-Based Multi-Objective Optimization (SMO) approach.

    Download full text (pdf)
    fulltext
  • 13.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Aslam, Tehseen
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Flores-García, Erik
    Dept. of Sustainable Production Development, KTH Royal Institute of Technology, Södertälje, Sweden.
    Wiktorsson, Magnus
    Dept. of Sustainable Production Development, KTH Royal Institute of Technology, Södertälje, Sweden.
    Simulation-based multi-objective optimization for reconfigurable manufacturing system configurations analysis2020In: Proceedings of the 2020 Winter Simulation Conference / [ed] K.-H. Bae; B. Feng; S. Kim; S. Lazarova-Molnar; Z. Zheng; T. Roeder; R. Thiesing, IEEE, 2020, p. 1527-1538Conference paper (Refereed)
    Abstract [en]

    The purpose of this study is to analyze the use of Simulation-Based Multi-Objective Optimization (SMO) for Reconfigurable Manufacturing System Configuration Analysis (RMS-CA). In doing so, this study addresses the need for efficiently performing RMS-CA with respect to the limited time for decision-making in the industry, and investigates one of the salient problems of RMS-CA: determining the minimum number of machines necessary to satisfy the demand. The study adopts an NSGA II optimization algorithm and presents two contributions to existing literature. Firstly, the study proposes a series of steps for the use of SMO for RMS-CA and shows how to simultaneously maximize production throughput, minimize lead time, and buffer size. Secondly, the study presents a qualitative comparison with the prior work in RMS-CA and the proposed use of SMO; it discusses the advantages and challenges of using SMO and provides critical insight for production engineers and managers responsible for production system configuration.

  • 14.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Del Riego Navarro, Andres
    University of Skövde, School of Engineering Science.
    Rico Perez, Alvaro
    University of Skövde, School of Engineering Science.
    Nourmohammadi, Amir
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Availability Analysis of Reconfigurable Manufacturing System Using Simulation-Based Multi-Objective Optimization2022In: SPS2022: Proceedings of the 10th Swedish Production Symposium / [ed] Amos H. C. Ng; Anna Syberfeldt; Dan Högberg; Magnus Holm, Amsterdam; Berlin; Washington, DC: IOS Press, 2022, p. 369-379Conference paper (Refereed)
    Abstract [en]

    Nowadays, manufacturing companies face an increasing number of challenges that can cause unpredictable market changes. These challenges are derived from a fiercely competitive market. These challenges create unforeseen variations and uncertainties, including new regional requirements or regulations, new technologies and materials, new market segments, increasing demand for new product features, etc. To cope with the challenges above, companies must reinvent themselves and design manufacturing systems that seek to produce quality products while responding to the changes faced. These capabilities are encompassed in Reconfigurable Manufacturing Systems (RMS), capable of dealing with uncertainties quickly and economically. The availability of RMS is a crucial factor in establishing the production capacity of a system that considers all events that could interrupt the planned production. The impact of the availability in RMS is influenced by the configuration of the systems, including the number of resources used. This paper presents a case study in which a simulation-based multi-objective optimization (SMO) method is used to find machines’ optimal task allocation and assignment to workstations under different scenarios of availability. It has been shown that considering the availability of the machines affects the optimal configuration, including the number of resources needed, such as machines and buffers. This study demonstrates the importance of the availability consideration during the design of RMS.

    Download full text (pdf)
    fulltext
  • 15.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Uppsala, Sweden.
    Aslam, Tehseen
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Uppsala, Sweden.
    Optimizing reconfigurable manufacturing systems: A Simulation-based Multi-objective Optimization approach2021In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 104, p. 1837-1842Article in journal (Refereed)
    Abstract [en]

    Application of reconfigurable manufacturing systems (RMS) plays a significant role in manufacturing companies’ success in the current fiercely competitive market. Despite the RMS’s advantages, designing these systems to achieve a high-efficiency level is a complex and challenging task that requires the use of optimization techniques. This study proposes a simulation-based optimization approach for optimal allocation of work tasks and resources (i.e., machines) to workstations. Three conflictive objectives, namely maximizing the throughput, minimizing the buffers’ capacity, and minimizing the number of machines, are optimized simultaneously while considering the system’s stochastic behavior to achieve the desired system’s configuration.

    Download full text (pdf)
    fulltext
  • 16.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Nourmohammadi, Amir
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Smedberg, Henrik
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Aslam, Tehseen
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    An Enhanced Simulation-Based Multi-Objective Optimization Approach with Knowledge Discovery for Reconfigurable Manufacturing Systems2023In: Mathematics, ISSN 2227-7390, Vol. 11, no 6, article id 1527Article in journal (Refereed)
    Abstract [en]

    In today’s uncertain and competitive market, where manufacturing enterprises are subjected to increasingly shortened product lifecycles and frequent volume changes, reconfigurable manufacturing system (RMS) applications play significant roles in the success of the manufacturing industry. Despite the advantages offered by RMSs, achieving high efficiency constitutes a challenging task for stakeholders and decision makers when they face the trade-off decisions inherent in these complex systems. This study addresses work task and resource allocations to workstations together with buffer capacity allocation in an RMS. The aim is to simultaneously maximize throughput and to minimize total buffer capacity under fluctuating production volumes and capacity changes while considering the stochastic behavior of the system. An enhanced simulation-based multi-objective optimization (SMO) approach with customized simulation and optimization components is proposed to address the abovementioned challenges. Apart from presenting the optimal solutions subject to volume and capacity changes, the proposed approach supports decision makers with knowledge discovery to further understand RMS design. In particular, this study presents a customized SMO approach combined with a novel flexible pattern mining method for optimizing an RMS and conducts post-optimal analyses. To this extent, this study demonstrates the benefits of applying SMO and knowledge discovery methods for fast decision support and production planning of an RMS.

    Download full text (pdf)
    fulltext
  • 17.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Oscarsson, Jan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Lidberg, Simon
    Volvo Car Corporation, Skövde, Sweden.
    Sellgren, Tommy
    Volvo Car Corporation, Skövde, Sweden.
    A Study of Discrete Event Simulation Project Data and Provenance Information Management in an Automotive Manufacturing Plant2017In: Proceedings of the 2017 Winter Simulation Conference / [ed] W. K. V. Chan; A. D’Ambrogio; G. Zacharewicz; N. Mustafee; G. Wainer; E. Page, IEEE, 2017, , p. 12p. 4012-4023Conference paper (Refereed)
    Abstract [en]

    Discrete Event Simulation (DES) project data management is a complex and important engineering activity which impacts on an organization’s efficiency. This efficiency could be decreased by the lack of provenance information or the unreliability of existing information regarding previous simulation projects, all of which complicates the reusability of the existing data. This study presents an analysis of the management of simulation projects and their provenance data, according to the different types of scenarios usually found at a manufacturing plant. A survey based on simulation projects at an automotive manufacturing plant was conducted, in order to categorize the information regarding the studied projects, map the available provenance data and standardize its management. This study also introduces an approach that demonstrates how a structured framework based on the specific data involved in the different types of scenarios could allow an improvement of the management of DES projects.

  • 18.
    Barrera Diaz, Carlos Alberto
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Smedberg, Henrik
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Enabling Knowledge Discovery from Simulation-Based Multi-Objective Optimization in Reconfigurable Manufacturing Systems2022In: Proceedings of the 2022 Winter Simulation Conference / [ed] B. Feng; G. Pedrielli; Y. Peng; S. Shashaani; E. Song; C. G. Corlu; L. H. Lee; E. P. Chew; T. Roeder; P. Lendermann, IEEE, 2022, p. 1794-1805Conference paper (Refereed)
    Abstract [en]

    Due to the nature of today's manufacturing industry, where enterprises are subjected to frequent changes and volatile markets, reconfigurable manufacturing systems (RMS) are crucial when addressing ramp-up and ramp-down scenarios derived from, among other challenges, increasingly shortened product lifecycles. Applying simulation-based optimization techniques to their designs under different production volume scenarios has become valuable when RMS becomes more complex. Apart from proposing the optimal solutions subject to various production volume changes, decision-makers can extract propositional knowledge to better understand the RMS design and support their decision-making through a knowledge discovery method by combining simulation-based optimization and data mining techniques. In particular, this study applies a novel flexible pattern mining algorithm to conduct post-optimality analysis on multi-dimensional, multi-objective optimization datasets from an industrial-inspired application to discover the rules regarding how the tasks are assigned to the workstations constitute reasonable solutions for scalable RMS. 

  • 19.
    Beheshtinia, Mohammad Ali
    et al.
    Department of Industrial Engineering, University of Semnan, Iran.
    Ahmadi, Bahar
    Department of Industrial Engineering, University of Semnan, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    A Genetic Algorithm with Multiple Populations to Reduce Fuel Consumption in Supply Chain2021In: International Journal of Transportation Engineering, ISSN 2322-259X, Vol. 8, no 3, p. 225-246Article in journal (Refereed)
    Abstract [en]

    Reducing fuel consumption by transportation fleet in a supply chain, reduces transportation costs and consequently, the product final cost. Moreover, it reduces environmental pollution, and in some cases, it helps governments constitute less subsidies for fuels. In this paper, a supply chain scheduling is studied, with the two objective functions of minimizing the total fuel consumption, and the total order delivery time. After presenting the mathematical model of the problem, a genetic algorithm, named Social Genetic Algorithm (SGA) is proposed to solve it. The proposed algorithm helps decision makers determine the allocation of orders to the suppliers and vehicles and production and transportation scheduling to minimize total order delivery time and fuel consumption. In order for SGA performance evaluation, its results are compared with another genetic algorithm in the literature and optimal solution. Finally, a sensitivity analysis is performed on SGA. The results of comparisons also show the high performance of SGA. Moreover, by increasing the number of suppliers and vehicles and decreasing the number of orders, the value of the objective function is reduced.

    Download full text (pdf)
    fulltext
  • 20.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Bahrami, Fatemeh
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Asadi, Shahla
    Department of Information Systems and Business Analytics, Kent State University, OH, USA.
    Evaluating and prioritizing the healthcare waste disposal center locations using a hybrid multi-criteria decision-making method2023In: Scientific Reports, E-ISSN 2045-2322, Vol. 13, no 1, article id 15130Article in journal (Refereed)
    Abstract [en]

    Healthcare waste disposal center location (HCWDCL) impacts the environment and the health of living beings. Different and sometimes contradictory criteria in determining the appropriate site location for disposing of healthcare waste (HCW) complicate the decision-making process. This research presents a hybrid multi-criteria decision-making (MCDM) method, named PROMSIS, to determine the appropriate HCWDCL in a real case. The PROMSIS is the combination of two well-known MCDM methods, namely TOPSIS and PROMETHEE. Moreover, fuzzy theory is used to describe the uncertainties of the problem parameters. To provide a reliable decision on selecting the best HCWDCL, a comprehensive list of criteria is identified through a literature review and experts’ opinions obtained from the case study. In total, 40 criteria are identified and classified into five major criteria, namely economic, environmental, social, technical, and geological. The weight of the considered criteria is determined by the Analytical Hierarchy Process (AHP) method. Then, the score of the alternative HCWDCLs in each considered criterion is obtained. Finally, the candidate locations for disposing of HCWs are ranked by the proposed fuzzy PROMSIS method. The results show that the most important criteria in ranking the alternatives in the studied case are economic, environmental, and social, respectively. Moreover, the sub-criteria of operating cost, transportation cost, and pollution are identified as the most important sub-criteria, respectively.

    Download full text (pdf)
    fulltext
  • 21.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Sweden.
    Energy‐efficient and sustainable supply chain in the manufacturing industry2023In: Energy Science & Engineering, ISSN 2050-0505, Vol. 11, no 1, p. 357-382Article in journal (Refereed)
    Abstract [en]

    This study aims at reducing energy consumption in supply chain networks by providing optimal integrated production and transportation scheduling. The considered supply chain consists of one main manufacturing center, multiple production units (i.e., suppliers), and multiple heterogeneous vehicles as the transportation fleet. To schedule this complex supply chain network in an energy-efficient way, several decisions should be made concerning the assignment of orders to suppliers and determining their production sequence, splitting orders, assigning orders to vehicles, and assigning delivery priority to orders. To cope with the problem, a mixed-integer linear programming model is presented. Due to the complexity of the problem, a novel development of the genetic algorithm named the Multiple Reference Group Genetic Algorithm (MRGGA) is also proposed. Four objectives are considered to be optimized to meet both suitability and energy-efficiency aspects in the supply chain network. These optimization objectives are to minimize the total orders' delivery times to the manufacturing center, fuel consumption by the vehicles, energy consumption at supplies, and maximize orders' quality. To analyze the performance of the proposed algorithm, a real case and a set of generated instances are solved. The results obtained by the proposed algorithm are compared with an existing genetic algorithm in the literature. Moreover, the results are also compared with the optimal solutions obtained from the mathematical model for small-size problems. The results of the comparisons show the efficiency of the proposed MRGGA in finding energy-efficient solutions for the considered supply chain network.

    Download full text (pdf)
    fulltext
  • 22.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Semnan University, Iran.
    Feizollahy, Parisa
    Industrial Engineering Department, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Uppsala University, Sweden.
    Supply Chain Optimization Considering Sustainability Aspects2021In: Sustainability, E-ISSN 2071-1050, Vol. 13, no 21, p. 1-23, article id 11873Article in journal (Refereed)
    Abstract [en]

    Supply chain optimization concerns the improvement of the performance and efficiency of the manufacturing and distribution supply chain by making the best use of resources. In the context of supply chain optimization, scheduling has always been a challenging task for experts, especially when considering a distributed manufacturing system (DMS). The present study aims to tackle the supply chain scheduling problem in a DMS while considering two essential sustainability aspects, namely environmental and economic. The economic aspect is addressed by optimizing the total delivery time of order, transportation cost, and production cost while optimizing environmental pollution and the quality of products contribute to the environmental aspect. To cope with the problem, it is mathematically formulated as a mixed-integer linear programming (MILP) model. Due to the complexity of the problem, an improved genetic algorithm (GA) named GA-TOPKOR is proposed. The algorithm is a combination of GA and TOPKOR, which is one of the multi-criteria decision-making techniques. To assess the efficiency of GA-TOPKOR, it is applied to a real-life case study and a set of test problems. The solutions obtained by the algorithm are compared against the traditional GA and the optimum solutions obtained from the MILP model. The results of comparisons collectively show the efficiency of the GA-TOPKOR. Analysis of results also revealed that using the TOPKOR technique in the selection operator of GA significantly improves its performance.

    Download full text (pdf)
    fulltext
  • 23.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Jafari Kahoo, Sanaz
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Prioritizing healthcare waste disposal methods considering environmental health using an enhanced multi-criteria decision-making method2023In: Environmental Pollutants and Bioavailability, ISSN 2639-5932, Vol. 35, no 1, p. 250-269, article id 2218568Article in journal (Refereed)
    Abstract [en]

    The Healthcare Waste Disposal Method Selection (HCWDMS) is a complicated problem due to multiple and often contradictory criteria with different importance degrees. Thus, decision-makers are restored to multi-criteria decision-making (MCDM) methods to prioritize and select the best HCW disposal methods. This study introduces an enhanced MCDM method to deal with the HCWDMS problem. To address the problem, a comprehensive list of criteria and HCW disposal methods are identified. All the criteria are categorized into four main criteria, and Fuzzy Analysis Hierarchy Process is used to determine the weights of considered criteria and sub-criteria. The study results show that environmental, economic, technical, and social criteria are the most important in selecting disposal methods, respectively. Moreover, the sub-criteria of ‘Health Risk’, ‘Release with health effects’, and ‘Capital cost’ have the highest importance, respectively. Additionally, the methods of ‘Microwave’, ‘Sterilization by autoclave’, and ‘Reverse polymerization’ have the highest priority, respectively.

    Download full text (pdf)
    fulltext
  • 24.
    Beheshtinia, Mohammad Ali
    et al.
    Department of Industrial Engineering, Semnan University, Iran.
    Jozi, Ali
    Department of Industrial Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Optimizing disaster relief goods distribution and transportation: a mathematical model and metaheuristic algorithms2023In: Applied Mathematics in Science and Engineering, E-ISSN 2769-0911, Vol. 31, no 1, article id 2252980Article in journal (Refereed)
    Abstract [en]

    The effective distribution of relief goods is critical in mitigating the impact of natural disasters and preserving human life. This study addresses a relief goods distribution problem, assuming the existence of multiple relief orders that must be delivered to various disaster-stricken regions from a network of warehouses using a fleet of diverse vehicles. The objective is to identify the most suitable warehouse for each relief order, allocate relief orders to vehicles, batch the orders in the designated vehicles, and devise routing plans to minimize the total delivery time. A mixed-integer linear programming model is formulated to tackle this problem. Owing to the problem’s NP-hard nature, a metaheuristic algorithm, known as the Multiple League Championship Algorithm (MLCA), is developed. Furthermore, two innovative variants of the MLCA , namely the League Base Multiple League Championship Algorithm (L- MLCA) and the Playoff Multiple League Championship Algorithm (P-MLCA), are introduced.Experimental results indicate that the P-MLCA outperforms the other two algorithms. The solutions derived from the P-MLCA are compared with the optimal solutions obtained by a commercial solver for small-scale problems. This comparative analysis demonstrates the promising performance of the P-MLCA in finding the optimal distribution of relief goods.

    Download full text (pdf)
    fulltext
  • 25.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Sayadinia, Shakiba
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Identifying and prioritizing marketing strategies for the building energy management systems using a hybrid fuzzy MCDM technique2023In: Energy Science & Engineering, ISSN 2050-0505Article in journal (Refereed)
    Abstract [en]

    Preventing energy waste in residential and office buildings has emerged as a critical issue in both developed and developing countries over recent decades. The growing demand for oil and energy reserves has amplified the urgency of this concern. The deployment of building energy management systems (BEMSs) can lead to timely responses to changes in environmental conditions, the prevention of energy wastage, a reduction in CO2 emissions, and an increase in the longevity of building equipment. Despite the undeniable benefits of BEMSs, their market size remains small, creating challenges for providers in reaching potential customers. This research seeks to identify and prioritize the marketing strategies for BEMSs. A case study was conducted, employing the “Strengths, Weaknesses, Opportunities, and Threats” analysis as a tool for identifying marketing strategies related to BEMSs. This method resulted in the identification of 18 distinct marketing strategies. These strategies were subsequently prioritized using a novel fuzzy multicriteria decision-making technique, VIkor-topSIS, considering six specific criteria. The findings of the study suggested a hierarchical influence of six criteria on the BEMS market, arranged in the following order of significance: effectiveness, cost, attainability, complexity, timing, and popularity. Furthermore, the top three marketing strategies for BEMSs were found to be internet advertising strategies, discounts to consumers, and online sales. The analysis of the results has also offered valuable insights into the strengths and weaknesses of the studied BEMS provider, as well as the opportunities and threats present within the BEMS market.

    Download full text (pdf)
    fulltext
  • 26.
    Beheshtinia, Mohammad Ali
    et al.
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Sedady, Fatima
    Industrial Engineering Department, Faculty of Engineering, Semnan University, Iran.
    Fathi, Masood
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden.
    Ghobakhloo, Morteza
    Division of Industrial Engineering and Management, Department of Civil and Industrial Engineering, Uppsala University, Sweden ; School of Economics and Business, Kaunas University of Technology, Lithuania.
    Iranmanesh, Mohammad
    La Trobe Business School, La Trobe University, Melbourne, Victoria, Australia.
    A fuzzy three-dimensional house of quality to integrate and coordinate departments’ activities in organizations2023In: IEEE Access, E-ISSN 2169-3536Article in journal (Refereed)
    Abstract [en]

    This study aims to introduce a method to integrate and coordinate departments’ activities to enhance the service quality of organizations using Quality Function Deployment (QFD). To this purpose, the classical two-dimensional House Of Quality (HOQ) matrix is changed to a three-dimensional form (3D-HOQ). The 3D-HOQ is applied to the marketing and Human Resources (HR) departments of a bank to determine customers’ and employees’ demands, respectively. The 3D-HOQ is also employed to provide a unique list of technical requirements to satisfy the identified demands. Obtaining a unique list of technical requirements with the cooperation of both departments reduces the inconsistency between departments, saves cost and time by preventing reworks and parallel works, and increases the organization’s efficiency. Moreover, 3D-HOQ is combined with the SERVQUAL technique and fuzzy theory to determine the weight of obtained technical requirements. The study is conducted in four main steps, (1) identifying the customers’ and employees’ demands, (2) identifying the technical requirements for simultaneous satisfaction of both customers’ and employees’ demands, (3) determining the relationships between the technical requirements and the identified demands, and (4) prioritizing technical requirements. Applying the 3D-HOQ resulted in identifying 30 customers’ demands, 30 employees’ demands, and 50 technical requirements. The study results show that "using new banking technologies" has the highest weight among the customers’ demands, and "job security" has been found to have the highest weight among employees’ demands. Moreover, "Intra-organizational processes automation" has been identified as the technical requirement with the highest weight.

    Download full text (pdf)
    fulltext
  • 27.
    Bengnér, Johannes
    et al.
    Paediatric Clinic, Ryhov County Hospital, Region Jönköping County, Sweden.
    Quttineh, Maysae
    Department of Laboratory Medicine, Region Jönköping County, Sweden.
    Gäddlin, Per-Olof
    Paediatric Clinic, Ryhov County Hospital, Region Jönköping County, Sweden.
    Salomonsson, Kent
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Faresjö, Maria
    Biomedical Platform, Department of Natural Science and Biomedicine, School of Health and Welfare, Jönköping University, Sweden ; Department of Biology and Biological Engineering, Chalmers University of Technology, Göteborg, Sweden.
    Serum amyloid A – A prime candidate for identification of neonatal sepsis2021In: Clinical Immunology, ISSN 1521-6616, E-ISSN 1521-7035, Vol. 229, no 108787Article in journal (Refereed)
    Abstract [en]

    Neonatal sepsis is common, lethal, and hard to diagnose. In combination with clinical findings and blood culture, biomarkers are crucial to make the correct diagnose. A Swedish national inquiry indicated that neonatologists were not quite satisfied with the available biomarkers. We assessed the kinetics of 15 biomarkers simultaneously: ferritin, fibrinogen, granulocyte colony-stimulating factor (G-CSF), interferon (IFN)-γ, interleukin (IL)-1β, −6, −8, −10, macrophage inflammatory protein (MIP)-1β, procalcitonin, resistin, serum amyloid A (SAA), tumor necrosis factor (TNF)-α, tissue plasminogen activator-3 and visfatin. The goal was to observe how quickly they rise in response to infection, and for how long they remain elevated. From a neonatal intensive care unit, newborns ≥28 weeks gestational age were recruited. Sixty-eight newborns were recruited to the study group (SG), and fifty-one to the control group (CG). The study group subjects were divided into three subgroups depending on clinical findings: confirmed sepsis (CSG), suspected sepsis (SSG) and no sepsis. CSG and SSG were also merged into an entire sepsis group (ESG) for sub-analysis. Blood samples were collected at three time-points; 0 h, 12–24 h and 48–72 h, in order to mimic a “clinical setting”. At 0 h, visfatin was elevated in SSG compared to CG; G-CSF, IFN-γ, IL-1β, −8 and − 10 were elevated in SSG and ESG compared to CG, whereas IL-6 and SAA were elevated in all groups compared to CG. At 12–24 h, IL-8 was elevated in ESG compared to CG, visfatin was elevated in ESG and SSG compared to CG, and SAA was elevated in all three groups compared to CG. At 48–72 h, fibrinogen was elevated in ESG compared to CG, IFN-γ and IL-1β were elevated in SSG and ESG compared to CG, whereas IL-8 and SAA were elevated in all three groups compared to CG. A function of time-formula is introduced as a tool for theoretical prediction of biomarker levels at any time-point. We conclude that SAA has the most favorable kinetics regarding diagnosing neonatal sepsis, of the biomarkers studied. It is also readily available methodologically, making it a prime candidate for clinical use. 

  • 28.
    Bermudo Gamboa, Carolina
    et al.
    Department of Civil, Material and Manufacturing Engineering, EII, University of Malaga, Spain.
    Andersson, Tobias J.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Svensson, Daniel
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Trujillo Vilches, Francisco Javier
    Department of Civil, Material and Manufacturing Engineering, EII, University of Malaga, Spain.
    Martín-Béjar, Sergio
    Department of Civil, Material and Manufacturing Engineering, EII, University of Malaga, Spain.
    Sevilla Hurtado, Lorenzo
    Department of Civil, Material and Manufacturing Engineering, EII, University of Malaga, Spain.
    Modeling of the fracture energy on the finite element simulation in Ti6Al4V alloy machining2021In: Scientific Reports, E-ISSN 2045-2322, Vol. 11, no 1, article id 18490Article in journal (Refereed)
    Abstract [en]

    One of the main problems that exists when working with Finite Element Methods (FEM) applied to machining processes is the lack of adequate experimental data for simulating the material properties. Moreover, for damage models based on fracture energy, the correct selection of the energy value is critical for the chip formation process. It is usually difficult to obtain the fracture energy values and requires complex tests. In this work, an analysis of the influence of this fracture energy on the cutting force and the chip generation process has been carried out for different sets of cutting parameters. The aim is to present an empirical relationship, that allows selecting the fracture energy based on the cutting force and cutting parameters. The work is based on a FEM model of an orthogonal turning process for Ti6Al4V alloy using Abaqus/Explicit and the fracture energy empirical relation. This work shows that it is necessary to adjust the fracture energy for each combination of cutting conditions, to be able to fit the experimental results. The cutting force and the chip geometry are analyzed, showing how the developed model adapts to the experimental results. It shows that as the cutting speed and the feed increase, the fracture energy value that best adapts to the model decreases. The evolution shows a more pronounced decrease related to the feed increment and high cutting speed. 

    Download full text (pdf)
    fulltext
  • 29.
    Billing, Erik
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Bampouni, Elpida
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Lamb, Maurice
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Automatic Selection of Viewpoint for Digital Human Modelling2020In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020 / [ed] Lars Hanson, Dan Högberg, Erik Brolin, Amsterdam: IOS Press, 2020, p. 61-70Conference paper (Refereed)
    Abstract [en]

    During concept design of new vehicles, work places, and other complex artifacts, it is critical to assess positioning of instruments and regulators from the perspective of the end user. One common way to do these kinds of assessments during early product development is by the use of Digital Human Modelling (DHM). DHM tools are able to produce detailed simulations, including vision. Many of these tools comprise evaluations of direct vision and some tools are also able to assess other perceptual features. However, to our knowledge, all DHM tools available today require manual selection of manikin viewpoint. This can be both cumbersome and difficult, and requires that the DHM user possesses detailed knowledge about visual behavior of the workers in the task being modelled. In the present study, we take the first steps towards an automatic selection of viewpoint through a computational model of eye-hand coordination. We here report descriptive statistics on visual behavior in a pick-and-place task executed in virtual reality. During reaching actions, results reveal a very high degree of eye-gaze towards the target object. Participants look at the target object at least once during basically every trial, even during a repetitive action. The object remains focused during large proportions of the reaching action, even when participants are forced to move in order to reach the object. These results are in line with previous research on eye-hand coordination and suggest that DHM tools should, by default, set the viewpoint to match the manikin’s grasping location.

    Download full text (pdf)
    fulltext
  • 30.
    Billing, Erik
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Lamb, Maurice
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Digital Human Modelling in Action2019In: Proceedings of the 15th SweCog Conference / [ed] Linus Holm; Erik Billing, Skövde: University of Skövde , 2019, p. 25-28Conference paper (Refereed)
    Download full text (pdf)
    fulltext
  • 31.
    Billing, Erik
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Rosén, Julia
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Lamb, Maurice
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Language Models for Human-Robot Interaction2023In: HRI '23: Companion of the 2023 ACM/IEEE International Conference on Human-Robot Interaction, ACM Digital Library, 2023, p. 905-906Conference paper (Refereed)
    Abstract [en]

    Recent advances in large scale language models have significantly changed the landscape of automatic dialogue systems and chatbots. We believe that these models also have a great potential for changing the way we interact with robots. Here, we present the first integration of the OpenAI GPT-3 language model for the Aldebaran Pepper and Nao robots. The present work transforms the text-based API of GPT-3 into an open verbal dialogue with the robots. The system will be presented live during the HRI2023 conference and the source code of this integration is shared with the hope that it will serve the community in designing and evaluating new dialogue systems for robots.

    Download full text (pdf)
    fulltext
  • 32.
    Blank, Julian
    et al.
    Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, United States.
    Deb, Kalyanmoy
    Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, United States.
    Dhebar, Yashesh
    Department of Computer Science and Engineering, Michigan State University, East Lansing, MI, United States.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Seada, Haitham
    Av LLC-Altair, Ford Motor Company, Dearborn, MI, United States.
    Generating Well-Spaced Points on a Unit Simplex for Evolutionary Many-Objective Optimization2021In: IEEE Transactions on Evolutionary Computation, ISSN 1089-778X, E-ISSN 1941-0026, Vol. 25, no 1, p. 48-60, article id 9086772Article in journal (Refereed)
    Abstract [en]

    Most evolutionary many-objective optimization (EMaO) algorithms start with a description of a number of the predefined set of reference points on a unit simplex. So far, most studies have used the Das and Dennis's structured approach for generating well-spaced reference points. Due to the highly structured nature of the procedure, this method cannot produce an arbitrary number of points, which is desired in an EMaO application. Although a layer-wise implementation has been suggested, EMO researchers always felt the need for a more generic approach. Motivated by earlier studies, we introduce a metric for defining well-spaced points on a unit simplex and propose a number of viable methods for generating such a set. We compare the proposed methods on a variety of performance metrics such as hypervolume (HV), deviation in triangularized simplices, distance of the closest point pair, and variance of the geometric means to nearest neighbors in up to 15-D spaces. We show that an iterative improvement based on Riesz s-energy is able to effectively find an arbitrary number of well-spaced points even in higher-dimensional spaces. Reference points created using the proposed Riesz s-energy method for a number of standard combinations of objectives and reference points as well as a source code written in Python are available publicly at https://www.egr.msu.edu/coinlab/blankjul/uniform. © 1997-2012 IEEE.

  • 33.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Delfs, Niclas
    Fraunhofer-Chalmers Centre, Geometry and Motion Planning, Gothenburg, Sweden.
    Rebas, Martin
    Fraunhofer-Chalmers Centre, Geometry and Motion Planning, Gothenburg, Sweden.
    Karlsson, Tobias
    Fraunhofer-Chalmers Centre, Geometry and Motion Planning, Gothenburg, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Global Industrial Development, Scania CV AB, Sweden.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Development of body shape data based digital human models for ergonomics simulations2022In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA, University of Iowa Press, 2022, Vol. 7, p. 1-9, article id 13Conference paper (Refereed)
    Abstract [en]

    This paper presents the development of body-shape-data-based digital human models, i.e. manikins, for ergonomics simulations. In digital human modeling (DHM) tools, it is important that the generated manikin models are accurate and representative for different body sizes and shapes as well as being able to scale and move during motion simulations. The developed DHM models described in this paper are based on body scan data from the CAESAR anthropometric survey. The described development process consists of six steps and includes alignment of body scans, fitting of template mesh through homologous body modeling, statistical prediction of body shape, joint centre prediction, adjustment of posture to T-pose, and, finally, generation of a relation between predicted mesh and manikin mesh. The implemented method can be used to create any type of manikin size that can be directly used in a simulation. To evaluate the results, a comparison was done of original body scans and statistically predicted meshes generated in an intermediary step, as well as the resulting DHM manikins. The accuracy of the statistically predicted meshes are relatively good, even though differences can be seen, mostly related to postural differences and differences around smaller areas with distinct shapes. The biggest differences between the final manikin models and the original scans can be found in the shoulder and abdominal areas, in addition to the significantly different initial posture that the manikin models have. To further improve and evaluate the generated manikin models, additional body scan data sets that include more diverse postures would be useful. DHM tool functionality could also be improved to enable evaluation of the accuracy of the generated manikin models, possibly resulting in DHM tools that are more compliant with standard documents. At the same time, standard documents might need to be updated in some aspects to include more three-dimensional accuracy analysis.

  • 34.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV, Södertälje, Sweden.
    Skewed Boundary Confidence Ellipses for Anthropometric Data2020In: DHM2020: Proceedings of the 6th International Digital Human Modeling Symposium, August 31 – September 2, 2020 / [ed] Lars Hanson, Dan Högberg, Erik Brolin, Amsterdam: IOS Press, 2020, p. 18-27Conference paper (Refereed)
    Abstract [en]

    Some anthropometric measurements, such as body weight often show a positively skewed distribution. Different types of transformations can be applied when handling skewed data in order to make the data more normally distributed. This paper presents and visualises how square root, log normal and, multiplicative inverse transformations can affect the data when creating boundary confidence ellipses. The paper also shows the difference of created manikin families, i.e. groups of manikin cases, when using transformed distributions or not, for three populations with different skewness. The results from the study show that transforming skewed distributions when generating confidence ellipses and boundary cases is appropriate to more accurately consider this type of diversity and correctly describe the shape of the actual skewed distribution. Transforming the data to create accurate boundary confidence regions is thought to be advantageous, as this would create digital manikins with enhanced accuracy that would produce more realistic and accurate simulations and evaluations when using DHM tools for the design of products and workplaces.

    Download full text (pdf)
    fulltext
  • 35.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Industrial Development, Scania CV, Södertälje.
    Örtengren, Roland
    Chalmers University of Technology, Gothenburg.
    Development and evaluation of an anthropometric module for digital human modelling systems2019In: International Journal of Human Factors Modelling and Simulation, ISSN 1742-5549, Vol. 7, no 1, p. 47-70Article in journal (Refereed)
    Abstract [en]

    This paper presents the development of a software module and a graphical user interface which aims to support the definition of anthropometry of manikins in a digital human modelling (DHM) tool. The module is developed from user interviews and literature studies, as well as mathematical methods for anthropometric diversity consideration. The module has functionality to create both single manikins and manikin families, where it is possible to combine or analyse different population datasets simultaneously. The developed module and its interface have been evaluated via focus group interviews and usability tests by DHM tool users. Results from the studies show that the developed module and its interface has relevant functionality, fits well into industrial work processes, and is easy to use. The study also identifies possibilities to further increase usability.

  • 36.
    Brolin, Erik
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Högberg, Dan
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Nurbo, Pernilla
    Ergonomics, Customer Experience Centre, Volvo Cars, Gothenburg, Sweden.
    Statistical Posture Prediction of Vehicle Occupants in Digital Human Modelling Tools2020In: Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management. Posture, Motion and Health: 11th International Conference, DHM 2020, Held as Part of the 22nd HCI International Conference, HCII 2020, Copenhagen, Denmark, July 19–24, 2020, Proceedings, Part I / [ed] Vincent G. Duffy, Cham: Springer, 2020, p. 3-17Conference paper (Refereed)
    Abstract [en]

    When considering vehicle interior ergonomics in the automotive design and development process, it is important to be able to realistically predict the initial, more static, seated body postures of the vehicle occupants. This paper demonstrates how published statistical posture prediction models can be implemented into a digital human modelling (DHM) tool to evaluate and improve the overall posture prediction functionality in the tool. The posture prediction functionality uses two different posture prediction models in a sequence, in addition to the DHM tool´s functionality to optimize postures. The developed posture prediction functionality is demonstrated and visualized with a group of 30 digital human models, so called manikins, by using accurate car geometry in two different use case scenarios where the sizes of the adjustment ranges for the steering wheel and seat are altered. The results illustrate that it is possible to implement previously published posture prediction models in a DHM tool. The results also indicate that, depending on how the implemented functionality is used, different results will be obtained. Having access to a digital tool that can predict and visualize likely future vehicle occupants’ postures, for a family of manikins, enables designers and developers to consider and evaluate the human-product interaction and fit, in a consistent and transparent manner. © 2020, Springer Nature Switzerland AG.

  • 37.
    Brownlee, Alexander E. I.
    et al.
    University of Stirling, United Kingdom.
    Swan, Jerry
    University of York, United Kingdom.
    Senington, Richard
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Kocsis, Zoltan A.
    The University of Manchester, United Kingdom.
    Conflict-free routing of multi-stop warehouse trucks2020In: Optimization Letters, ISSN 1862-4472, E-ISSN 1862-4480, Vol. 14, no 6, p. 1459-1470Article in journal (Refereed)
    Abstract [en]

    The recent interest in greater vehicular autonomy for factory and warehouse automation has stimulated research in conflict-free routing: a challenging network routing problem in which vehicles may not pass each other. Motivated by a real-world case study, we consider one such application: truck movements in a tightly constrained warehouse. We propose an extension of an existing conflict-free routing algorithm to consider multiple stopping points per route. A high level metaheuristic is applied to determine the route construction and assignment of vehicles to routes. 

    Download full text (pdf)
    fulltext
  • 38.
    Danielsson, Oscar
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Volvo Car Corporation.
    Augmented reality smart glasses as assembly operator support: A framework for enabling industrial integration2022Doctoral thesis, comprehensive summary (Other academic)
    Abstract [en]

    Manufacturing industry is seeing vast improvements in productivity and flexibility as the fourth industrial revolution continues to unfold. However, despite improved computation and automation capacity, there is still a role for operators to play in Industry 4.0, mirrored in the concept of Operator 4.0. Improved productivity and a more competitive global market have contributed to increasing manufacturing complexity, putting greater cognitive demands on operators. A technology that can support operators in this new manufacturing landscape is augmented reality (AR), specifically, headworn AR smart glasses (ARSG). With ARSG, operators can receive information interactively in real time, hands free and overlying their natural environment. ARSG are an emerging technology that is becoming more mature; there are early examples of their use in manufacturing industry, but ARSG are not yet widespread.

    Because ARSG are an emerging technology, there is still uncertainty as to how ARSG can be integrated, like other production equipment, in assembly lines. When current literature was analyzed, it was found that there is a need for more knowledge particularly from the manufacturing engineering perspective of practically integrating ARSG on the industrial shop floor in the long term. This thesis therefore aims to create a framework that supports industry in making strategic and practical decisions about integrating ARSG in production as an assembly operator support tool. The framework is designed to guide industrial decision makers in evaluating the suitability of ARSG as support in an assembly station and, further to offer specific recommendations and rationales for actions to take. It has two main perspectives: the operators using the ARSG and the manufacturing engineers conducting the integration into the production systems. The framework was iteratively developed, using design science combining qualitative and quantitative methods into mixed methods. Three research questions were developed and answered as steps toward creating and evaluating the framework.

    The results of the thesis show that ARSG integration should be considered in relation to the investment cost and efficiency gains. For instance, ARSG requires the digitalization of assembly instructions before it can be feasible. If operators are mostly stationary when working and have little need for spatial guidance, there might be cheaper alternatives to ARSG, such as monitors or pick-by-light, that merit prior consideration. The framework has been developed and tested iteratively with industrial experts from different fields, with the initial strawman design based on three literature reviews and previous research.

    Download full text (pdf)
    fulltext
  • 39.
    Danielsson, Oscar
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Augmented reality smart glasses as assembly operator support: Towards a framework for enabling industrial integration2020Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Operators are likely to continue to play an integral part in industrial assembly for the foreseeable future. This is in part because increasingly shorter life-cycles and increased variety of products makes automation harder to achieve. As technological advancements enables greater digitalization, the demands for increased individual designs of products increases. These changes, combined with a global competition, does put an increasing strain on operators to handle large quantities of information in a short timeframe. Augmented reality (AR) has been identified as a technology that can present assembly information to operators in an efficient manner. AR smart glasses (ARSG) is an implementation of AR suitable for operators since they are hands-free and can provide individual instructions in the correct context directly in their real work environment. There are currently early adopters of ARSG in production within industry and there are many predictions that ARSG usage will continue to grow. However, to fully integrate ARSG as a tool among others in a modern and complex factory there are several perspectives that a company need to take into consideration. This thesis investigates both the operator perspective and the manufacturing engineering perspective to support industry in how to make the correct investment decisions as regards to ARSG.

    The aim of this licentiate thesis is to provide a basis for a framework to enable industry to choose and integrate ARSG in production as a value adding operator support. This is achieved by investigating the theoretical basis of ARSG related technology and its maturity as well as the needs operators have in ARSG for their usage in assembly. The philosophical paradigm that is followed is that of pragmatism. The methodology used is design science, set in the research paradigm of mixed methods. Data has been collected through experiments with demonstrators, interviews, observations, and literature reviews. This thesis provides partial answers to the overall research aim.

    The thesis shows that the topic is feasible, relevant to industry, and a novel scientific contribution. Observations, interviews, and a literature review gave an overview of the operator perspective. Some highlights from the results are that operators are willing to work with ARSG, that operators need help in unlearning old tasks as well as learning new ones, and that optimal weight distribution of ARSG is dependent on the operators’ head-positioning. Highlights from the preliminary findings for the manufacturing engineering perspective include a general lack of standards for AR as regards vertical industrial application, improved tools for faster instruction generation, and large variations in specifications of available ARSG.

    Future work includes a complete answer to the manufacturing engineering perspective as well as combining all the results to create a framework for ARSG integration in industry.

    Download full text (pdf)
    fulltext
  • 40.
    Danielsson, Oscar
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Augmented Reality Smart Glasses for Industrial Assembly Operators: A Meta-Analysis and Categorization2019In: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, 10–12 September 2019, Queen’s University, Belfast, UK / [ed] Yan Jin; Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, p. 173-179Conference paper (Refereed)
    Abstract [en]

    Augmented reality smart glasses (ARSG) are an emerging technology that has the potential to revolutionize how operators interact with information in cyber-physical systems. However, augmented reality is currently not widespread in industrial assembly. The aim of this paper is to investigate and map ARSG in manufacturing from the perspectives of the operator, of manufacturing engineering, and of its technological maturity. This mapping provides an overview of topics relevant to enabling the implementation of ARSG in a manufacturing system, thus facilitating future exploration of the three perspectives. This investigation was done using a meta-analysis of literature reviews of applications of augmented reality in industrial manufacturing. The meta-analysis categorized previously identified topics within augmented reality in industrial manufacturing and mapped those to the scope of the three perspectives.

  • 41.
    Danielsson, Oscar
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Augmented reality smart glasses for operators in production: Survey of relevant categories for supporting operators2020In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 93, p. 1298-1303Article in journal (Refereed)
    Abstract [en]

    The aim of this paper is to give an overview of the current knowledge and future challenges of augmented reality smart glasses (ARSG) for use by industrial operators. This is accomplished through a survey of the operator perspective of ARSG for industrial application, aiming for faster implementation of ARSG for operators in manufacturing. The survey considers the categories assembly instructions, human factors, design, support, and training from the operator perspective to provide insights for efficient use of ARSG in production. The main findings include a lack of standards in the design of assembly instructions, the field of view of ARSG are limited, and the guidelines for designing instructions focus on presenting context-relevant information and limiting the disturbance of reality. Furthermore, operator task routine is becoming more difficult to achieve and testing has mainly been with non-operator testers and overly simplified tasks. Future challenges identified from the review include: longitudinal user-tests of ARSG, a deeper evaluation of how to distribute the weight of ARSG, further improvement of the sensors and visual recognition to facilitate better interaction, and task complexity is likely to increase.

    Download full text (pdf)
    fulltext
  • 42.
    Danielsson, Oscar
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Augmented reality smart glasses in industrial assembly: Current status and future challenges2020In: Journal of Industrial Information Integration, ISSN 2467-964X, E-ISSN 2452-414X, Vol. 20, article id 100175Article, review/survey (Refereed)
    Abstract [en]

    This article aims to provide a better understanding of Augmented Reality Smart Glasses (ARSG) for assembly operators from two perspectives, namely, manufacturing engineering and technological maturity. A literature survey considers both these perspectives of ARSG. The article's contribution is an investigation of the current status as well as challenges for future development of ARSG regarding usage in the manufacturing industry in relation to the two perspectives. This survey thereby facilitate a better future integration of ARSG in manufacturing. Findings include that commercially available ARSG differ considerably in their hardware specifications. The Technological Readiness Level (TRL) of some of the components of ARSG is still low, with displays having a TRL of 7 and tracking a TRL of 5. A mapping of tracking technologies and their suitability for industrial ARSG was done and identified Bluetooth, micro-electro mechanical sensors (MEMS) and infrared sensors as potentially suitable technologies to improve tracking. Future work identified is to also explore the operator perspective of ARSG in manufacturing. © 2020

  • 43.
    Danielsson, Oscar
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Evaluation Framework for Augmented Reality Smart Glasses as Assembly Operator Support: Case Study of Tool Implementation2021In: IEEE Access, E-ISSN 2169-3536, Vol. 9, p. 104904-104914Article in journal (Refereed)
    Abstract [en]

    Augmented reality smart glasses (ARSG) have been identified as relevant support tools for the Operator 4.0 paradigm. Although ARSG are starting to be used in industry, their use is not yet widespread. A previously developed online tool based on a framework for evaluating ARSG as assembly operator support is iteratively improved in this paper with expanded functionality. The added functionality consists of practical recommendations for implementing ARSG in production. These recommendations were produced with the help of five focus groups of industrial representatives working in production. The recommendations were evaluated using case studies at three different companies. The recommendations were found to be detailed and a good support for the process of considering ARSG integration into production. The companies overall found the tool and its recommendations to be relevant and correct for their cases.

    Download full text (pdf)
    fulltext
  • 44.
    Danielsson, Oscar
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Holm, Magnus
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Integration of Augmented Reality Smart Glasses as Assembly Support: A Framework Implementation in a Quick Evaluation Tool2023In: International Journal of Manufacturing Research, ISSN 1750-0591, Vol. 18, no 2, p. 144-164Article in journal (Refereed)
    Abstract [en]

    Augmented reality smart glasses (ARSG) have been successfully used as operator support in production. However, their use is not yet widespread, likely in part due to a lack of knowledge about how to integrate ARSG into production. This lack of knowledge can also make it hard to estimate whether this is a worthwhile investment. Our solution is to provide an online evaluation tool to help production planners estimate the likelihood that ARSG will be worth the investment cost in specific production cases. Based on a strawman design, multiple design iterations were followed by a pilot test performed by participants from different manufacturing companies involved in planning production for operators. A Likert scale survey was used to evaluate the tool. The results show a slightly positive evaluation of the tool with suggestions for improvement, including widening the scope and granularity of the tool. Future works include further iterations and case studies.

  • 45.
    Deb, Kalyanmoy
    et al.
    Michigan State University, East Lansing, USA.
    Bandaru, Sunith
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Seada, Haitham
    Ford Motor Company, Dearborn, USA.
    Generating Uniformly Distributed Points on a Unit Simplex for Evolutionary Many-Objective Optimization2019In: Evolutionary Multi-Criterion Optimization: 10th International Conference, EMO 2019, East Lansing, MI, USA, March 10-13, 2019, Proceedings / [ed] Kalyanmoy Deb; Erik Goodman; Carlos A. Coello Coello, Kathrin Klamroth; Kaisa Miettinen; Sanaz Mostaghim; Patrick Reed, Cham, Switzerland: Springer, 2019, Vol. 11411, p. 179-190Conference paper (Refereed)
    Abstract [en]

    Most of the recently proposed evolutionary many-objective optimization (EMO) algorithms start with a number of predefined reference points on a unit simplex. These algorithms use reference points to create reference directions in the original objective space and attempt to find a single representative near Pareto-optimal point around each direction. So far, most studies have used Das and Dennis’s structured approach for generating a uniformly distributed set of reference points on the unit simplex. Due to the highly structured nature of the procedure, this method does not scale well with an increasing number of objectives. In higher dimensions, most created points lie on the boundary of the unit simplex except for a few interior exceptions. Although a level-wise implementation of Das and Dennis’s approach has been suggested, EMO researchers always felt the need for a more generic approach in which any arbitrary number of uniformly distributed reference points can be created easily at the start of an EMO run. In this paper, we discuss a number of methods for generating such points and demonstrate their ability to distribute points uniformly in 3 to 15-dimensional objective spaces.

    Download full text (pdf)
    fulltext
  • 46.
    Despeisse, Mélanie
    et al.
    Chalmers University of Technology, Gothenburg, Sweden.
    Chari, Arpita
    Chalmers University of Technology, Gothenburg, Sweden.
    González Chávez, Clarissa Alejandra
    Chalmers University of Technology, Gothenburg, Sweden.
    Chen, Xiaoxia
    Chalmers University of Technology, Gothenburg, Sweden.
    Johansson, Björn
    Chalmers University of Technology, Gothenburg, Sweden.
    Igelmo Garcia, Victor
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Abdulfatah, Tarek
    Volvo Group Trucks Operations, Gothenburg, Sweden.
    Polukeev, Alexey
    Lund University, Sweden.
    Achieving Circular and Efficient Production Systems: Emerging Challenges from Industrial Cases2021In: Advances in Production Management Systems. Artificial Intelligence for Sustainable and Resilient Production Systems: IFIP WG 5.7 International Conference, APMS 2021, Nantes, France, September 5–9, 2021, Proceedings, Part IV / [ed] Alexandre Dolgui; Alain Bernard; David Lemoine; Gregor von Cieminski; David Romero, Cham: Springer, 2021, p. 523-533Conference paper (Refereed)
    Abstract [en]

    As the need for more responsible production and consumption grows quickly, so does the interest in the concepts of eco-efficiency and circularity. To make swift progress towards sustainability, solutions must be developed and deployed at scale. It is therefore critical to understand the challenges faced by industry to accelerate the uptake of best practices for circular and efficient production systems. This paper presents the emerging issues from three industrial pilots in an on-going collaborative project. We discuss and suggest further work around crucial questions such as: How to deploy circular solutions from lab to industrial scale? How can digitalization support efficient circular processes?. 

  • 47.
    Ding, Jianguo
    et al.
    Blekinge Tekniska Högskola, Institutionen för datavetenskap.
    Tadesse Aklilu, Yohannes
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Blockchain for Smart Grid Operations, Control and Management2022Report (Other academic)
    Abstract [en]

    A comprehensive overview of blockchain-based smart grid management, control, and operation solutions. The report compares with related reviews and highlights the challenges in management, control, and operation for a blockchain-based smart grid, as well as future research directions in five categories: collaboration between actors, data analytics and management, control of network imbalances, decentralization of network management and operation, security and privacy.

    The report reviews how blockchain technology can potentially solve the challenges of decentralized solutions for future renewable energy systems. As a result, several applications of blockchain for renewable energy are discussed, such as electric vehicles, decentralized P2P energy transactions, carbon certification and trading, physical information security, energy transfer, Energy-to-X, and the Internet of Energy.

    A guideline for the implementation of blockchain to corresponding applications for future renewable energy is also presented in this report. This includes the different blockchain system architectures, the data flow from the power grid processed and recorded, the choice of the appropriate consensus, and the different blockchain frameworks.

    Download full text (pdf)
    FULLTEXT01
  • 48.
    Ejdebäck, Mikael
    et al.
    University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment.
    Algerin, Maria
    University of Skövde, School of Bioscience. University of Skövde, Systems Biology Research Environment.
    Sedenka, Jan
    University of Skövde, School of Business. University of Skövde, Enterprises for the Future Research Environment.
    Ruiz Zúñiga, Enrique
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Nalin, Kajsa
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Rambusch, Jana
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Personas som metod för utveckling av internationaliseringen i utbildning2022Conference paper (Refereed)
    Abstract [sv]

    Enligt högskoleförordningens examensmål ska studenter efter avslutad utbildning inte bara uppvisa kunskap och förståelse för sitt områdes vetenskapliga grund utan även en rad färdigheter, förmågor, värderingsförmåga och förhållningssätt som inbegriper ett internationellt och interkulturellt perspektiv. Dessa perspektiv kan fås genom internationellt studentutbyte och mobilitet men också genom internationalisering på hemmaplan är tillgängligt för alla studenter. Internationaliseringen bryter språk- och kulturella barriärer, öppnar studenternas internationella perspektiv och bidrar därmed till att öka kvaliteten i utbildningarna och gör studenterna bättre förberedda för ett alltmer mångkulturellt samhälle och en global arbetsmarknad. Personas är fiktiva beskrivningar av typiska användare, förankrade i empiriska data med fokus på användarnas mål, behov, erfarenheter och beteenden. Inom området User Experience Design utgör personas ett viktigt stöd i den användarcentrerade designprocessen. Personas används ofta för att ge liv åt potentiella användare och därmed göra det lättare att ta användarens perspektiv, men har också använts för arbete med utveckling av studenters empatiska förmågor [1] [2]. I detta projekt användes personas för att beskriva studenters mål, behov, erfarenheter och beteenden, i relation till de internationella, interkulturella och globala färdigheter våra studenter behöver i sitt framtida yrkesliv. Syftet är att synliggöra de behov studenterna ska försöka möta och i sin tur söka avspegla detta i utbildningarna. I projektgruppen ingick programansvariga samt personer med erfarenhet av User Experience Design. Efter en kort presentation av projektet och dess resultat genomförs ett digitalt rundabordssamtal.

    Syftet med rundabordssamtalet är dels att diskutera allmängiltigheten i de projektresultat som presenterats, dels om personas kan användas för andra ändamål som exempelvis vid utveckling av högre utbildning. Projektledaren fungerar som moderator för samtalet och inleder med en kort Mentimeter-övning där deltagarna får reflektera kring det genomförda projektet och dess relevans för internationalisering i utbildningen. Beroende på antalet deltagare så kan rundabordssamtalet sedan delas in i mindre digitala grupper ledda av övriga projektdeltagare och med en gemensam återsamling med gemensam sammanfattning och avslut. Förväntat utfall från rundabordssamtalet är att sprida arbetssättet med personas men också att vi ska få med oss viktiga synpunkter för det fortsatta arbetet.

    [1] Haag, M., & Marsden, N. (2019). Exploring Personas as a Method to Foster Empathy in Student IT Design Teams. International Journal of Technology and Design Education, 29(3), 565–582.

    [2] van Rooij, S. W. (2012). Research-Based Personas: Teaching Empathy in Professional Education. Journal of Effective Teaching, 12(3), 77–86.

    Download full text (pdf)
    fulltext
  • 49.
    Elango, Veeresh
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV, Södertälje, Sweden.
    Petravic, Simona
    Scania CV, Södertälje, Sweden.
    Hanson, Lars
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. Scania CV, Södertälje, Sweden.
    Evaluation of upper body postural assessment of forklift driving using a single depth camera2022In: Proceedings of the 7th International Digital Human Modeling Symposium (DHM 2022), August 29–30, 2022, Iowa City, Iowa, USA, University of Iowa Press, 2022, Vol. 7, p. 1-12, article id 38Conference paper (Refereed)
    Abstract [en]

    Observational postural assessment methods which are commonly used in industry are time consuming and have issues of inter- and intra-rater reliability. Computer vision (CV) based methodshave been proposed, but they have mainly been tested inside lab environments. This study aims to develop and evaluate an upper body postural assessment system in a real industry environment using a single depth camera and OpenPose for the task of forklift driving. The results were compared with XSens, an Inertial Measurement Unit (IMU) based system. Data from three forklift drivers performing seven indoor and outdoor tasks were recorded with a depth camera and XSens sensors. The data were then analyzed with OpenPose with additional custom processing. The angles calculated by the computer vision system showed small errors compared to the XSens system and generally followed the trend of the XSens system joint angle values. However, the results after applying ergonomic thresholds were vastly different and the two systems rarely agreed. These findings suggest that the CV system needs further study to improve the robustness on self-occlusion and angle calculations. Also,XSens needs further study to assess its consistency and reliability in industrial environments.

  • 50.
    Fast-Berglund, Åsa
    et al.
    Chalmers University of Technology, Sweden.
    Thorvald, Peter
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Variations in cycle-time when using knowledge-based tasks for humans and robots2021In: IFAC-PapersOnLine, E-ISSN 2405-8963, Vol. 54, no 1, p. 152-157Article in journal (Refereed)
    Abstract [en]

    Operator4.0 was coined in 2016 to create a research arena to understand how the physical, cognitive, and sensorial capabilities of an operator could be enhanced by automation. To create an interaction between operator and robots, there are important factors that needs to be defined. Two important factors are the task and function allocation. Without well-defined tasks it is hard to allocate the tasks between the robot and the human to create resource flexibility. Furthermore, it the tasks are knowledge-based rather than rule-based, the cycle time between operators can differ a lot. Two assumptions are discussed regarding knowledge-based tasks and automation. These are also tested in an experiment. Results show that it is a large variation of the cycle time for both humans (between 1,58 minutes up to 4,40 minutes) and robots (between 1,94 minutes up to 4,49 minutes) when it comes to knowledge-based and machine learning systems.

    Download full text (pdf)
    fulltext
12345 1 - 50 of 236
CiteExportLink to result list
Permanent link
Cite
Citation style
  • apa
  • apa-cv
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf