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Fathi, M., Ghobakhloo, M. & Syberfeldt, A. (2019). An Interpretive Structural Modeling of Teamwork Training in Higher Education. Education Sciences, 9(1), 1-20
Open this publication in new window or tab >>An Interpretive Structural Modeling of Teamwork Training in Higher Education
2019 (English)In: Education Sciences, E-ISSN 2227-7102, Vol. 9, no 1, p. 1-20Article in journal (Refereed) Published
Abstract [en]

In the past decade, the importance of teamwork training in higher education and employers’ enthusiasm for recruiting team players have been widely discussed in the literature. Yet, the process through which effective teamwork training is developed in a higher education setting has not yet been properly discussed. The present study aims to map the precedence relationships among the key determinants of teamwork training effectiveness and explain the process through which an effective teamwork training program can be developed. The study first conducted an extensive review of the literature to highlight the key determinants of effective teamwork training. Next, the study benefitted from an interpretive structural modeling technique and captured the opinions of a group of teamwork training experts to further map the interrelationships among the potential determinants that were identified. By listing the key determinants of effective teamwork training, mapping their interrelationships, and identifying their driving and dependence power, the present study is expected to help practitioners and academicians through providing a detailed understanding of the process through which an effective teamwork training program can be developed in a higher education context.

Place, publisher, year, edition, pages
Switzerland: MDPI, 2019
Keywords
teamwork, higher education, determinants, interpretive structural modeling
National Category
Pedagogy
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16568 (URN)10.3390/educsci9010016 (DOI)
Available from: 2019-01-16 Created: 2019-01-16 Last updated: 2019-01-18Bibliographically approved
Fathi, M., Nourmohammadi, A., Ng, A. H. C. & Syberfeldt, A. (2019). An optimization model for balancing assembly lines with stochastic task times and zoning constraints. IEEE Access
Open this publication in new window or tab >>An optimization model for balancing assembly lines with stochastic task times and zoning constraints
2019 (English)In: IEEE Access, E-ISSN 2169-3536Article in journal (Refereed) Epub ahead of print
Abstract [en]

This study aims to bridge the gap between theory and practice by addressing a real-world assembly line balancing problem (ALBP) where task times are stochastic and there are zoning constraints in addition to the commonly known ALBP constraints. A mixed integer programming (MIP) model is proposed for each of the straight and U-shaped assembly line configurations. The primary objective in both cases is to minimize the number of stations; minimizing the maximum of stations’ mean time and the stations’ time variance are considered secondary objectives. Four different scenarios are discussed for each model, with differences in the objective function. The models are validated by solving a real case taken from an automobile manufacturing company and some standard test problems available in the literature. The results indicate that both models are able to provide optimum solutions for problems of different sizes. The technique for order preference by similarity to ideal solution (TOPSIS) is used to create reliable comparisons of the different scenarios and valid analysis of the results. Finally, some insights regarding the selection of straight and U-shaped layouts are provided.

Place, publisher, year, edition, pages
IEEE, 2019
Keywords
assembly line balancing, mathematical programming, stochastic, zoning constraints
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16689 (URN)10.1109/ACCESS.2019.2903738 (DOI)
Projects
This study is supported by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 723711 through the MANUWORK project.
Funder
EU, Horizon 2020, 723711
Available from: 2019-03-09 Created: 2019-03-09 Last updated: 2019-03-14
Syberfeldt, A., Ayani, M. & Holm, M. (2018). A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden (pp. 405-410). Amsterdam: IOS Press
Open this publication in new window or tab >>A holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam: IOS Press, 2018, p. 405-410Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes a project that attempts to develop a holistic solution for integrating a simulated twin of an automation system during the system’s entire life-cycle. With such holistic solution, virtual commission could be undertaken in all steps of the life-cycle which facilitates companies in realizing flexible and intelligent automation systems. Based on the simulated twin, the companies could easily and cost-efficiently evaluate modifications, make improvements, and train operators when changes in the production setup occurs due mass-customization or new products being introduced. This aids the companies in staying competitive on a global and rapidly changing market and meet the challenges coming with the forth industrial revolution, such as mass-customization and short product life-cycles.

Place, publisher, year, edition, pages
Amsterdam: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
Simulated twin, Virtual commissioning, Automation system
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
INF201 Virtual Production Development; Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16374 (URN)10.3233/978-1-61499-902-7-405 (DOI)2-s2.0-85057394455 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11–13, 2018, University of Skövde, Sweden
Available from: 2018-11-08 Created: 2018-11-08 Last updated: 2019-02-05Bibliographically approved
Gustavsson, P. & Syberfeldt, A. (2018). A New Algorithm Using the Non-dominated Tree to improve Non-dominated Sorting. Evolutionary Computation, 26(1), 89-116
Open this publication in new window or tab >>A New Algorithm Using the Non-dominated Tree to improve Non-dominated Sorting
2018 (English)In: Evolutionary Computation, ISSN 1063-6560, E-ISSN 1530-9304, Vol. 26, no 1, p. 89-116Article in journal (Refereed) Published
Abstract [en]

Non-dominated sorting is a technique often used in evolutionary algorithms to determine the quality of solutions in a population. The most common algorithm is the Fast Non-dominated Sort (FNS). This algorithm, however, has the drawback that its performance deteriorates when the population size grows. The same drawback applies also to other non-dominating sorting algorithms such as the Efficient Non-dominated Sort with Binary Strategy (ENS-BS). An algorithm suggested to overcome this drawback is the Divide-and-Conquer Non-dominated Sort (DCNS) which works well on a limited number of objectives but deteriorates when the number of objectives grows. This paper presents a new, more efficient, algorithm called the Efficient Non-dominated Sort with Non-Dominated Tree (ENS-NDT). ENS-NDT is an extension of the ENS-BS algorithm and uses a novel Non-Dominated Tree (NDTree) to speed up the non-dominated sorting. ENS-NDT is able to handle large population sizes and a large number of objectives more efficiently than existing algorithms for non-dominated sorting. In the paper, it is shown that with ENS-NDT the runtime of multi-objective optimization algorithms such as the Non-Dominated Sorting Genetic Algorithm II (NSGA-II) can be substantially reduced.

Place, publisher, year, edition, pages
MIT Press, 2018
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-13336 (URN)10.1162/EVCO_a_00204 (DOI)000426562300004 ()2-s2.0-85042773821 (Scopus ID)
Available from: 2017-01-25 Created: 2017-01-25 Last updated: 2018-03-20Bibliographically approved
Liu, Y., Syberfeldt, A. & Strand, M. (2018). A Review of Simulation Based Life Cycle Assessment in Manufacturing Industry. In: Peter Thorvald, Keith Case (Ed.), Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden. Paper presented at 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden (pp. 381-386). Amsterdam, Berlin, Washington,DC: IOS Press, 8
Open this publication in new window or tab >>A Review of Simulation Based Life Cycle Assessment in Manufacturing Industry
2018 (English)In: Advances in Manufacturing Technology XXXII: Proceedings of the 16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden / [ed] Peter Thorvald, Keith Case, Amsterdam, Berlin, Washington,DC: IOS Press, 2018, Vol. 8, p. 381-386Conference paper, Published paper (Refereed)
Abstract [en]

The manufacturing industry has a duty to minimize their environmental impact and more and more legislations include environmental impact evaluations from a life cycle perspective to avoid burden shift. Current manufacturing industry increase their use of computer-based simulations for optimizing production processes. In recent years, a number of studies have been published, combining simulations with life cycle assessments (LCA), to evaluate and minimize the environmental impact of production activities, as part of improving the production processes. Still, current knowledge concerning simulations for LCA is rather scattered. Therefore, this paper reviews relevant literature covering simulation based LCA for production development. The results of the review and cross comparison of papers are structured following the 6 categories in line with the ISO standard definition of LCA (goal formulation, scope definition, environmental impact assessment, data quality, level of modelling details, and model validation) and report the strengths and constraints of the reviewed studies. 

Place, publisher, year, edition, pages
Amsterdam, Berlin, Washington,DC: IOS Press, 2018
Series
Advances in Transdisciplinary Engineering, ISSN 2352-751X, E-ISSN 2352-7528 ; 8
Keywords
life cycle assessment, production process, simulation
National Category
Engineering and Technology Production Engineering, Human Work Science and Ergonomics Environmental Analysis and Construction Information Technology
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-16342 (URN)10.3233/978-1-61499-902-7-381 (DOI)2-s2.0-85057394386 (Scopus ID)978-1-61499-901-0 (ISBN)978-1-61499-902-7 (ISBN)
Conference
16th International Conference on Manufacturing Research, incorporating the 33rd National Conference on Manufacturing Research, September 11 – 13, 2018, Skövde, Sweden
Available from: 2018-10-26 Created: 2018-10-26 Last updated: 2019-02-06Bibliographically approved
Syberfeldt, A. & Rogström, J. (2018). A two-step multi-objectivization method for improved evolutionary optimization of industrial problems. Applied Soft Computing, 64, 331-340
Open this publication in new window or tab >>A two-step multi-objectivization method for improved evolutionary optimization of industrial problems
2018 (English)In: Applied Soft Computing, ISSN 1568-4946, E-ISSN 1872-9681, Vol. 64, p. 331-340Article in journal (Refereed) Published
Abstract [en]

Multi-objectivization means that helper objectives are added to an optimization problem with the purpose of altering the search space in a way that improves the progress of the optimization algorithm. In this paper, a new method for multi-objectivization is proposed that is based on a two-step process. In the first step, a helper objective that conflicts with the main objective is added, and in the second step a helper objective that is in harmony with, but subservient to, the main objective is added. In contrast to existing methods for multi-objectivization, the proposed method aims at obtaining improved results in real-world optimizations by focusing on three aspects: (a) adding as little extra complexity to the problem as possible, (b) achieving an optimal balance between exploration and exploitation in order to promote an efficient search, and (c) ensuring that the main objective, which is of main interest to the user, is always prioritized. Results from evaluating the proposed method on a complex real-world scheduling problem and a theoretical benchmark problem show that the method outperforms both a traditional single-objective approach and the prevailing method for multi-objectivization. Besides describing the proposed method, the paper also outlines interesting aspects of multi-objectivization to investigate in the future.

Keywords
Multi-objectivization, Evolutionary algorithms, Optimization, Real-world scheduling problem
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-14733 (URN)10.1016/j.asoc.2017.12.027 (DOI)000426011800023 ()2-s2.0-85039695707 (Scopus ID)
Funder
Knowledge Foundation
Available from: 2018-02-12 Created: 2018-02-12 Last updated: 2018-04-25Bibliographically approved
Fathi, M., Syberfeldt, A., Ghobakhloo, M. & Eskandari, H. (2018). An optimization model for material supply scheduling at mixed-model assembly lines. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 1258-1263
Open this publication in new window or tab >>An optimization model for material supply scheduling at mixed-model assembly lines
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 1258-1263Article in journal (Refereed) Published
Abstract [en]

This study is motivated by a real case study and addresses the material supply problem at assembly lines. The aim of the study is to optimally schedule the delivery of raw material at assembly lines while using the minimum number of vehicles. To cope with the problem an original mixed integer linear programming model has been proposed based on the assumptions and constraints observed in the case study. The validity of the model has been examined by solving several real cases and analysing different scenarios. The results of the study show the efficiency and effectiveness of the model.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 6
Keywords
Optimization, Material supply, Mixed integer linear programming, Assembly line
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15927 (URN)10.1016/j.procir.2018.03.274 (DOI)2-s2.0-85049563600 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-07-05 Created: 2018-07-05 Last updated: 2018-10-31Bibliographically approved
Gustavsson, P., Holm, M., Syberfeldt, A. & Wang, L. (2018). Human-robot collaboration – towards new metrics for selection of communication technologies. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 123-128
Open this publication in new window or tab >>Human-robot collaboration – towards new metrics for selection of communication technologies
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 6p. 123-128Article in journal (Refereed) Published
Abstract [en]

Industrial robot manufacturers have in recent years developed collaborative robots and these gains more and more interest within the manufacturing industry. Collaborative robots ensure that humans and robots can work together without the robot being dangerous for the human. However, collaborative robots themselves are not enough to achieve collaboration between a human and a robot; collaboration is only possible if a proper communication between the human and the robot can be achieved. The aim of this paper is to identify and categorize technologies that can be used to enable such communication between a human and an industrial robot.

Place, publisher, year, edition, pages
Elsevier, 2018. p. 6
Keywords
human-robot collaboration, human-robot interaction
National Category
Robotics
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15935 (URN)10.1016/j.procir.2018.03.156 (DOI)2-s2.0-85049566186 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-10-31Bibliographically approved
Danielsson, O., Syberfeldt, A., Holm, M. & Wang, L. (2018). Operators perspective on augmented reality as a support tool in engine assembly. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 45-50
Open this publication in new window or tab >>Operators perspective on augmented reality as a support tool in engine assembly
2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 45-50Article in journal (Refereed) Published
Abstract [en]

Augmented Reality (AR) has shown its potential in supporting operators in manufacturing. AR-glasses as a platform both in industrial use are emerging markets, thereby making portable and hands-free AR more and more feasible. An important aspect of integrating AR as a support tool for operators is their acceptance of the technology. This paper presents the results of interviewing operators regarding their view on AR technology in their field and observing them working in automotive engine assembly and how they interact with current instructions. The observations and follow-up questions identified three main aspects of the information that the operators looked at: validating screw torque, their current assembly time, and if something went wrong. The interviews showed that a large amount of the operators were positive towards using AR in assembly. This has given an insight in both the current information interaction the operators do and their view on the potential in using AR. Based on these insights we suggest a mock-up design of an AR-interface for engine assembly to serve as a base for future prototype designs.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
augmented reality, engine assembly, operator, förstärkt verklighet, motormontering, operatör
National Category
Communication Systems
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15937 (URN)10.1016/j.procir.2018.03.153 (DOI)2-s2.0-85049604095 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Available from: 2018-07-06 Created: 2018-07-06 Last updated: 2018-10-31Bibliographically approved
Flores Garcia, E., Ruiz Zúñiga, E., Bruch, J., Urenda Moris, M. & Syberfeldt, A. (2018). Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty. Paper presented at 51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018. Procedia CIRP, 72, 334-339
Open this publication in new window or tab >>Simulation-based Optimization for Facility Layout Design in Conditions of High Uncertainty
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2018 (English)In: Procedia CIRP, ISSN 2212-8271, E-ISSN 2212-8271, Vol. 72, p. 334-339Article in journal (Refereed) Published
Abstract [en]

Despite the increased use of Simulation based Optimization, the design of facility layout is challenged by high levels of uncertainty associatedwith new production processes. Addressing this issue, this paper aims to understand the conceptual modeling activities of Simulation-basedOptimization for facility layout design in conditions of high uncertainty. Based on three in-depth case studies, the results of this paper showhow characterization criteria of production systems can be used in conceptual modelling to reduce uncertainty. These results may be essentialto support managers and stakeholders during the introduction of new production processes in the design of facility layouts.

Place, publisher, year, edition, pages
Elsevier, 2018
Keywords
uncertainty reduction, simulation based optimization, facility layout, decision support, production system design
National Category
Other Engineering and Technologies not elsewhere specified
Research subject
Production and Automation Engineering
Identifiers
urn:nbn:se:his:diva-15189 (URN)10.1016/j.procir.2018.03.227 (DOI)2-s2.0-85049552085 (Scopus ID)
Conference
51st CIRP Conference on Manufacturing Systems, Stockholm, May 16-18, 2018
Funder
Knowledge Foundation
Available from: 2018-05-30 Created: 2018-05-30 Last updated: 2018-10-31Bibliographically approved
Organisations
Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0003-3973-3394

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