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  • 1.
    Barrera Diaz, Carlos Alberto
    University of Skövde, School of Engineering Science. Volvo Cars Corporation Skövde.
    Discrete event simulation data management2016Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    Simulation is one of the most important decision support tools that has been present during decades in the manufacturing industry. Discrete Event Simulation (DES) experiments analysis is an important engineering activity for efficient production. In order to improve this efficiency, many companies must develop a supporting framework, between engineers and the process information. Within DES it is also important the model provenance information because it validates the credibility of the model to be reused. Therefore, nowadays there is a great interest in the simulation community based on the reusability of the simulation models. The engineers at Volvo Cars Corporation (VCC) who work with DES technology, request and deliver a high number of Key Performance Indicators (KPIs). As a consequence it is difficult to present the simulation results in a standardized way. This thesis has investigated a way to reduce and standardize this time consuming process. Thus, by the study of what information and data must be documented and how it must be presented, the main goal of this thesis was to improve the efficiency of a company, when a DES project is being developed. A survey based on VCC simulation projects, was undertaken with the aim to find the output data and the information that must be included in a standardized report. First, the information of the projects was categorized in three main groups: general information, input data and output data. Within these groups, the provenance metadata which allows the reuse of the DES project, was identified. Then, after the analysis of 23 reports from DES projects, most frequent scenarios and their related output data were identified. All the findings were used for the implementation of a standardized and automated data-handling system which simplify the project documentation task to the engineers. This data-handling system exports the key output data from the simulation software to the report designed. Validation interviews show a strong acceptance among the engineers at VCC. Finally, in order to properly keep in track with all the provenance information when a DES project is being performed, a management method was proposed as well.

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    DES_DATA_MANAGEMENT
  • 2.
    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.

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  • 3.
    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.

  • 4.
    Flores Ramos, Bruno
    et al.
    University of Skövde, School of Engineering Science.
    Urnieta Ormazabal, Mikel
    University of Skövde, School of Engineering Science.
    Suitability of a virtual commissioning model for energy optimization of a gantry robot2019Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Manufacturing production systems are increasingly forced to join the path of sustainability regarding their typical room for improvement in terms of clean technology and energy usage. However, implementing these eco-friendly measures on facilities is a double-edged sword since the results are not usually guaranteed and could end up being extra energy wastages. Even though nowadays it is usually made for sequence fixing and training tasks, virtual commissioning comes alternatively into action showing up to test energy optimization attempts preventing the premature execution issues that could happen.

    This project has developed a VC model of a gantry crane system from a Volvo operation including energy consumption monitoring, aiming to test its suitability on energy optimization tasks. The development has been accomplished following the design and creation methodology through the use of Matlab, Codesys and Simumatik 3D and quantitative results are given specifically from different energy modeling drafts until reaching the closest result to the real system consumption. Once the true to reality model was developed, the optimization test was carried out decreasing the maximum velocity of the system behavior to see the energy consumption variation. This constitutes the ultimate test and its results are discussed coming into the conclusion that the VC model is suitable for energy optimization of the treated operation but would require reconfigurations for aggressive velocity changes.

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  • 5.
    Gkaris, Konstantinos
    University of Skövde, School of Informatics.
    First Person Exposure therapy for acrophobia2017Independent thesis Advanced level (degree of Master (One Year)), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    This thesis is focused on the development of games as a treatment for people who suffer from acrophobia, the fear of being in high-heighted situations. The purpose is to look over the immediate reactions of the players and study what effect first person gaming has on them in a short term. To achieve this, a series of three mini games is employed. Each game corresponds to a level. The first level is a tutorial which makes the player familiar with the game. In the second level, players are required to do a simple task. Finally, in the third level, the task is more pressuring and players need to be quicker to achieve the necessary goals.

    What is expected from this study is that the full control of the playable character makes the players feel immersed. Additionally, as the game progresses, the players will be more comfortable with heights. Last but not least, it is assumed that fast pace enhances immersion, a major factor of this study.

    As a result of our experiment, it is demonstrated that the control of the character from the player is a great tactic for immersion. Furthermore, it shows that the players start feeling better with heights even after one session. Finally, the study indicates that the fast pace enhances immersion, but over the time the increase of the pace has lower impact. These statements come as a result from the answers of the experiment‟s participants and will be shown in detail in this paper.

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  • 6.
    Goienetxea Uriarte, Ainhoa
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Ruiz Zúñiga, Enrique
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Urenda Moris, Matías
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Improving the Material Flow of a Manufacturing Company via Lean, Simulation and Optimization2017In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1245-1250Conference paper (Refereed)
    Abstract [en]

    Companies are continuously working towards system and process improvement to remain competitive in aglobal market. There are different methods that support companies in the achievement of that goal. This paper presents an innovative process that combines lean, simulation and optimization to improve the material flow of a manufacturing company. A description of each step of the process details the lean tools and principles taken into account, as well as the results achieved by the application of simulation and optimization.The project resulted in an improved layout and material flow that employs an automated guided vehicle. In addition, lean wastes related to transport, inventory levels as well as waiting times were reduced. The utilization of the process that combines lean, simulation and optimization was considered valuable for the success of the project.

  • 7.
    Goienetxea Uriarte, Ainhoa
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre. Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Urenda Moris, Matias
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Jägstam, Mats
    Department of Industrial Engineering and Management, School of Engineering, Jönköping University, Sweden.
    Lean, Simulation and Optimization: A maturity model2017In: Proceedings of the International Conference on Industrial Engineering and Engineering Management, IEEM2017, IEEE, 2017, p. 1310-1315Conference paper (Refereed)
    Abstract [en]

    This article presents a maturity model that can be applied to support organizations in identifying their current state and guiding their further development with regard to lean, simulation and optimization. The paper identifies and describes different maturity levels and offers guidelines that explain how organizations can grow from lower to higher levels of maturity. In addition, it attempts to provide the starting point for organizations that have applied lean or are willing to implement it and which may also be considering taking decisions in a more efficient way via simulation and optimization.

  • 8.
    Goienetxea Uriarte, Ainhoa
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ruiz Zúñiga, Enrique
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Urenda Moris, Matías
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Ng, Amos H. C.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Karlberg, Catarina
    Monitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden.
    Wallqvist, Pierre
    Monitoring and Analysis Area, Health Department of Västra Götaland, Skövde, Sweden.
    Improved system design of an emergency department through simulation-based multiobjective-optimization2014Conference paper (Refereed)
    Abstract [en]

    Healthcare facilities, and especially emergency departments (ED), are usually characterized by its complexity due to the variability and stochastic nature of the processes involved in the system. The combination of different flows of patients, staff and resources also increments the complexity of this kind of facilities. In order to increase its efficiency, many researchers have proposed discrete-event simulation (DES) as a powerful improvement tool. However, DES can be a limited approach in the case a simulation model has too many combinations of input parameters, complex correlations between the input and output parameters and different objective functions. Hence, to find the best configuration of a complex system, an approach combining DES and meta-heuristic optimization becomes an even more powerful improvement technique. Simulation-based multiobjective-optimization (SMO) is a promising approach to generate multiple trade-off solutions particularly when multiple conflicting objectives exist within a complex system. The generated solutions provide decision makers with feasible and optimal alternatives to improve, modify or design healthcare systems. The aim of this paper is to present the work done at the ED of the regional Hospital of Skövde in Sweden, where SMO implemented in modeFromtier has been successfully applied. The result and methodology present a successful approach for decision makers in healthcare systems to reduce the waiting time of patients saving considerable time, money and resources.

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  • 9.
    Igelmo, Victor
    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.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Aslam, Tehseen
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Enabling Industrial Mixed Reality Using Digital Continuity: An Experiment Within Remanufacturing2022In: 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. 497-507Conference paper (Refereed)
    Abstract [en]

    In the digitalisation era, overlaying digital, contextualised information on top of the physical world is essential for an efficient operation. Mixed reality (MR) is a technology designed for this purpose, and it is considered one of the critical drivers of Industry 4.0. This technology has proven to have multiple benefits in the manufacturing area, including improving flexibility, efficacy, and efficiency. Among the challenges that prevent the big-scale implementation of this technology, there is the authoring challenge, which we address by answering the following research questions: (1) “how can we fasten MR authoring in a manufacturing context?” and (2) “how can we reduce the deployment time of industrial MR experiences?”. This paper presents an experiment performed in collaboration with Volvo within the remanufacturing of truck engines. MR seems to be more valuable for remanufacturing than for many other applications in the manufacturing industry, and the authoring challenge appears to be accentuated. In this experiment, product lifecycle management (PLM) tools are used along with internet of things (IoT) platforms and MR devices. This joint system is designed to keep the information up-to-date and ready to be used when needed. Having all the necessary data cascading from the PLM platform to the MR device using IoT prevents information silos and improves the system’s overall reliability. Results from the experiment show how the interconnection of information systems can significantly reduce development and deployment time. Experiment findings include a considerable increment in the complexity of the overall IT system, the need for substantial investment in it, and the necessity of having highly qualified IT staff. The main contribution of this paper is a systematic approach to the design of industrial MR experiences.

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  • 10.
    Jarke, Matthias
    et al.
    Information Systems, RWTH Aachen University & Fraunhofer FIT, Aachen, Germany.
    Jeusfeld, Manfred
    Information Management, Tilburg University, Netherlands.
    Quix, Christoph J.
    Information Systems, RWTH Aachen University & Fraunhofer FIT, Aachen, Germany.
    Vassiliadis, Panos
    Department Computer Science, University of Ioannina, Greece.
    Vassiliou, Yanis
    DBLab, National Technical University of Athens, Greece.
    Data Warehouse Architecture and Quality: Impact and Open Challenges2013In: Seminal Contributions to Information Systems Engineering: 25 Years of CAiSE / [ed] Janis Bubenko; John Krogstie; Oscar Pastor; Barbara Pernici; Colette Rolland; Arne Sølvberg, Berlin Heidelberg: Springer Berlin/Heidelberg, 2013, 1, p. 183-189Chapter in book (Other (popular science, discussion, etc.))
    Abstract [en]

    The CAiSE 98 paper “Architecture and Quality in Data Warehouses” and its ex-panded journal version (Jarke et al. 1999) was the first to add a Zachman-like (Zachman 1987) explicit conceptual enterprise modeling perspective to the archi-tecture of data warehouses. Until then, data warehouses were just seen as collec-tions of – typically multidimensional and historized – materialized views on rela-tional tables, without consideration of modeling of the (business) conceptsunderlying their structure. The paper pointed out that this additional conceptualperspective was not just necessary for a truly semantic data integration but also aprerequisite for bringing the then very active data warehouse movement togetherwith another topic of quickly growing importance, that of data quality.

  • 11.
    Jiang, Yuning
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Vulnerability Analysis for Critical Infrastructures2022Doctoral thesis, monograph (Other academic)
    Abstract [en]

    The rapid advances in information and communication technology enable a shift from diverse systems empowered mainly by either hardware or software to cyber-physical systems (CPSs) that are driving Critical infrastructures (CIs), such as energy and manufacturing systems. However, alongside the expected enhancements in efficiency and reliability, the induced connectivity exposes these CIs to cyberattacks exemplified by Stuxnet and WannaCry ransomware cyber incidents. Therefore, the need to improve cybersecurity expectations of CIs through vulnerability assessments cannot be overstated. Yet, CI cybersecurity has intrinsic challenges due to the convergence of information technology (IT) and operational technology (OT) as well as the crosslayer dependencies that are inherent to CPS based CIs. Different IT and OT security terminologies also lead to ambiguities induced by knowledge gaps in CI cybersecurity. Moreover, current vulnerability-assessment processes in CIs are mostly subjective and human-centered. The imprecise nature of manual vulnerability assessment operations and the massive volume of data cause an unbearable burden for security analysts. Latest advances in machine-learning (ML) based cybersecurity solutions promise to shift such burden onto digital alternatives. Nevertheless, the heterogeneity, diversity and information gaps in existing vulnerability data repositories hamper accurate assessments anticipated by these ML-based approaches. Therefore, a comprehensive approach is envisioned in this thesis to unleash the power of ML advances while still involving human operators in assessing cybersecurity vulnerabilities within deployed CI networks.Specifically, this thesis proposes data-driven cybersecurity indicators to bridge vulnerability management gaps induced by ad-hoc and subjective auditing processes as well as to increase the level of automation in vulnerability analysis. The proposed methodology follows design science research principles to support the development and validation of scientifically-sound artifacts. More specifically, the proposed data-driven cybersecurity architecture orchestrates a range of modules that include: (i) a vulnerability data model that captures a variety of publicly accessible cybersecurity-related data sources; (ii) an ensemble-based ML pipeline method that self-adjusts to the best learning models for given cybersecurity tasks; and (iii) a knowledge taxonomy and its instantiated power grid and manufacturing models that capture CI common semantics of cyberphysical functional dependencies across CI networks in critical societal domains. This research contributes data-driven vulnerability analysis approaches that bridge the knowledge gaps among different security functions, such as vulnerability management through related reports analysis. This thesis also correlates vulnerability analysis findings to coordinate mitigation responses in complex CIs. More specifically, the vulnerability data model expands the vulnerability knowledge scope and curates meaningful contexts for vulnerability analysis processes. The proposed ML methods fill information gaps in vulnerability repositories using curated data while further streamlining vulnerability assessment processes. Moreover, the CI security taxonomy provides disciplined and coherent support to specify and group semanticallyrelated components and coordination mechanisms in order to harness the notorious complexity of CI networks such as those prevalent in power grids and manufacturing infrastructures. These approaches learn through interactive processes to proactively detect and analyze vulnerabilities while facilitating actionable insights for security actors to make informed decisions.

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  • 12.
    Jiang, Yuning
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Atif, Yacine
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    A selective ensemble model for cognitive cybersecurity analysis2021In: Journal of Network and Computer Applications, ISSN 1084-8045, E-ISSN 1095-8592, Vol. 193, article id 103210Article in journal (Refereed)
    Abstract [en]

    Dynamic data-driven vulnerability assessments face massive heterogeneous data contained in, and produced by SOCs (Security Operations Centres). Manual vulnerability assessment practices result in inaccurate data and induce complex analytical reasoning. Contemporary security repositories’ diversity, incompleteness and redundancy contribute to such security concerns. These issues are typical characteristics of public and manufacturer vulnerability reports, which exacerbate direct analysis to root out security deficiencies. Recent advances in machine learning techniques promise novel approaches to overcome these notorious diversity and incompleteness issues across massively increasing vulnerability reports corpora. Yet, these techniques themselves exhibit varying degrees of performance as a result of their diverse methods. We propose a cognitive cybersecurity approach that empowers human cognitive capital along two dimensions. We first resolve conflicting vulnerability reports and preprocess embedded security indicators into reliable data sets. Then, we use these data sets as a base for our proposed ensemble meta-classifier methods that fuse machine learning techniques to improve the predictive accuracy over individual machine learning algorithms. The application and implication of this methodology in the context of vulnerability analysis of computer systems are yet to unfold the full extent of its potential. The proposed cognitive security methodology in this paper is shown to improve performances when addressing the above-mentioned incompleteness and diversity issues across cybersecurity alert repositories. The experimental analysis conducted on actual cybersecurity data sources reveals interesting tradeoffs of our proposed selective ensemble methodology, to infer patterns of computer system vulnerabilities.

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  • 13.
    Jiang, Yuning
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Atif, Yacine
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Ding, Jianguo
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Cyber-Physical Systems Security Based on A Cross-Linked and Correlated Vulnerability Database2019In: Critical Information Infrastructures Security: 14th International Conference, CRITIS 2019, Linköping, Sweden, September 23–25, 2019, Revised Selected Papers / [ed] Simin Nadjm-Tehrani, Springer, 2019, Vol. 11777, p. 71-82Chapter in book (Refereed)
    Abstract [en]

    Recent advances in data analytics prompt dynamic datadriven vulnerability assessments whereby data contained from vulnerabilityalert repositories as well as from Cyber-physical System (CPS) layer networks and standardised enumerations. Yet, current vulnerability assessment processes are mostly conducted manually. However, the huge volume of scanned data requires substantial information processing and analytical reasoning, which could not be satisfied considering the imprecision of manual vulnerability analysis. In this paper, we propose to employ a cross-linked and correlated database to collect, extract, filter and visualise vulnerability data across multiple existing repositories, whereby CPS vulnerability information is inferred. Based on our locally-updated database, we provide an in-depth case study on gathered CPS vulnerability data, to explore the trends of CPS vulnerability. In doing so, we aim to support a higher level of automation in vulnerability awareness and back risk-analysis exercises in critical infrastructures (CIs) protection.

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  • 14.
    Jiang, Yuning
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Atif, Yacine
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Ding, Jianguo
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Multi-Level Vulnerability Modeling of Cyber-Physical Systems2018Conference paper (Refereed)
    Abstract [en]

    Vulnerability is defined as ”weakness of an asset or control that can be exploited by a threat” according to ISO/IEC 27000:2009, and it is a vital cyber-security issue to protect cyber-physical systems (CPSs) employed in a range of critical infrastructures (CIs). However, how to quantify both individual and system vulnerability are still not clear. In our proposed poster, we suggest a new procedure to evaluate CPS vulnerability. We reveal a vulnerability-tree model to support the evaluation of CPS-wide vulnerability index, driven by a hierarchy of vulnerability-scenarios resulting synchronously or propagated by tandem vulnerabilities throughout CPS architecture, and that could be exploited by threat agents. Multiple vulnerabilities are linked by boolean operations at each level of the tree. Lower-level vulnerabilities in the tree structure can be exploited by threat agents in order to reach parent vulnerabilities with increasing CPS criticality impacts. At the asset-level, we suggest a novel fuzzy-logic based valuation of vulnerability along standard metrics. Both the procedure and fuzzy-based approach are discussed and illustrated through SCADA-based smart power-grid system as a case study in the poster, with our goal to streamline the process of vulnerability computation at both asset and CPS levels.

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  • 15.
    Jiang, Yuning
    et al.
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Atif, Yacine
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Ding, Jianguo
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Wang, Wei
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A Semantic Framework With Humans in the Loop for Vulnerability-Assessment in Cyber-Physical Production Systems2020In: Risks and Security of Internet and Systems: 14th International Conference, CRiSIS 2019, Hammamet, Tunisia, October 29–31, 2019, Proceedings / [ed] Slim Kallel, Frédéric Cuppens, Nora Cuppens-Boulahia, Ahmed Hadj Kacem, Springer, 2020, Vol. 12026, p. 128-143Conference paper (Refereed)
    Abstract [en]

    Criticalmanufacturingprocessesinsmartnetworkedsystems such as Cyber-Physical Production Systems (CPPSs) typically require guaranteed quality-of-service performances, which is supported by cyber- security management. Currently, most existing vulnerability-assessment techniques mostly rely on only the security department due to limited communication between di↵erent working groups. This poses a limitation to the security management of CPPSs, as malicious operations may use new exploits that occur between successive analysis milestones or across departmental managerial boundaries. Thus, it is important to study and analyse CPPS networks’ security, in terms of vulnerability analysis that accounts for humans in the production process loop, to prevent potential threats to infiltrate through cross-layer gaps and to reduce the magnitude of their impact. We propose a semantic framework that supports the col- laboration between di↵erent actors in the production process, to improve situation awareness for cyberthreats prevention. Stakeholders with dif- ferent expertise are contributing to vulnerability assessment, which can be further combined with attack-scenario analysis to provide more prac- tical analysis. In doing so, we show through a case study evaluation how our proposed framework leverages crucial relationships between vulner- abilities, threats and attacks, in order to narrow further the risk-window induced by discoverable vulnerabilities.

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  • 16.
    Karavatos, Athanasios
    University of Skövde, School of Informatics.
    “WHAT IS YOUR DPS, HERO?”: Ludonarrative dissonance and player perception of story and mechanics in MMORPGs.2017Independent thesis Advanced level (degree of Master (One Year)), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    This thesis studies the MMORPGs and the ludonarrative dissonance that exist in the complexity of their design. Given the massive multiplayer nature of these games, players of different ambitions and gameplay preference need to coexist, which is a massive challenge for both the players themselves and the designers of these worlds. The balance of these two major aspects of the game, what affects the players and this tension, is the focal point of this thesis. By conducting a survey through various MMORPG player bases, this thesis concludes that this tension is not only a balance between narrative and mechanics but of other aspect as well. These aspects, intertextuality and community, this thesis argues, are the extra aspects that are tight connected with the balancing of narrative and mechanics in a MMORPG and the creation of these complex games and world. All these aspects are affected by the design decisions and affecting of how the players perceive the game world.

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  • 17.
    Kourentzes, Nikolaos
    et al.
    Department of Management Science, Lancaster University Management School, Lancaster University, United Kingdom.
    Barrow, Devon
    Faculty of Business, Environment and Society, Coventry University, United Kingdom.
    Petropoulos, Fotios
    School of Management, University of Bath, United Kingdom.
    Another look at forecast selection and combination: Evidence from forecast pooling2019In: International Journal of Production Economics, ISSN 0925-5273, E-ISSN 1873-7579, Vol. 209, p. 226-235Article in journal (Refereed)
    Abstract [en]

    Forecast selection and combination are regarded as two competing alternatives. In the literature there is substantial evidence that forecast combination is beneficial, in terms of reducing the forecast errors, as well as mitigating modelling uncertainty as we are not forced to choose a single model. However, whether all forecasts to be combined are appropriate, or not, is typically overlooked and various weighting schemes have been proposed to lessen the impact of inappropriate forecasts. We argue that selecting a reasonable pool of forecasts is fundamental in the modelling process and in this context both forecast selection and combination can be seen as two extreme pools of forecasts. We evaluate forecast pooling approaches and find them beneficial in terms of forecast accuracy. We propose a heuristic to automatically identify forecast pools, irrespective of their source or the performance criteria, and demonstrate that in various conditions it performs at least as good as alternative pools that require additional modelling decisions and better than selection or combination. 

  • 18.
    Köks, Tönu
    et al.
    University of Skövde, Department of Industrial Management.
    Nordqvist, Anders R.
    University of Skövde, Department of Industrial Management.
    Using discrete event simulation to analyse production capacity utilization2003In: ICOM 2003: International Conference on Mechatronics / [ed] R. M. Parkin; A. Al-Haibeh; M. R. Jackson, Professional Engineering Publishing, 2003, p. 117-122Conference paper (Refereed)
    Abstract [en]

    Computer simulation, because it can be applied to operational problems that are too difficult to model and solve analytically, is an especially effective tool to help analyse Supply/Demand Chain (S/DC) [1] capacity utilization issues [2]. As part of the ongoing research project daisy [3] has a case study for analysing the benefit of interfacing an Enterprise Resource planning system (ERP) with a system for computer simulation. Connecting simulation tools to systems for ERP in order to import necessary input data to simulate production plans would be a proper way to apply computer simulation tools to this type of problems. Simulating production plans could have different purposes, e.g. minimizing waste of resources or setting accurate delivery dates. Technically the connection between the two systems, i.e. the simulation system and the ERP system, could be made in an uncomplicated manner, for instance using files or network-based solutions. Different purposes will require different response time between the two systems involved and thereby different solutions for the connection. The main question in this study is not the technical connection but rather which data to import and the needed quality of these data in order to analyse capacity utilisation. For those ho have built real life simulation models lack of realistically data is a well-known fact. This is due to obsolete or inaccurate product data in ERP systems.

  • 19.
    Ladrón de Guevara Muñoz, M. Carmen
    et al.
    University of Skövde, School of Engineering Science.
    Martín Márquez, Javier
    University of Skövde, School of Engineering Science.
    Mini-grid system study applied to a stand-alone house located in Málaga, Spain2015Independent thesis Basic level (degree of Bachelor), 15 credits / 22,5 HE creditsStudent thesis
    Abstract [en]

    A study of an off-grid photovoltaic system for the electrification of a stand-alone single residential house in a rural area located in the city of Málaga, Spain, is presented. The load of an average family house is analysed keeping in mind the available solar energy at this location. A preliminary sizing of the system is carried out considering predefined values for the efficiency of the different technologies employed in the system: photovoltaic (PV) array, batteries as energy storages, inverters to convert the energy obtained from the sun, and diesel gensets to ensure supply under any circumstances. Later, precise brands of the available technologies in the market are selected, and the system is re-sized using the new parameters. The life cycle cost of the mini-grid (MG) system shows that the amortization of the system in 20 years for a stand-alone house is not possible. Although it is not confirmed that 20 years will be sufficient to make the system profitable, other aspects are considered and discussed in terms of their feasibility in Málaga.

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  • 20.
    Li, Xiaoxia
    et al.
    College of Informatics, Huazhong Agricultural University, Wuhan, China.
    Lu, Xin
    Department of Computing and Informatics, Bournemouth University, United Kingdom.
    Wang, Wei
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Jing, Yanguo
    Faculty of Business, Computing and Digital Industries, Leeds Trinity University, United Kingdom.
    Review on Learning-based Methods for shop Scheduling problems2022In: Proceedings 2022 IEEE International Conference on e-Business Engineering ICEBE 2022: 14–16 October 2022 Bournemouth, United Kingdom, IEEE, 2022, p. 294-298Conference paper (Refereed)
    Abstract [en]

    Shop scheduling is an effective way for manufacturers to improve their manufacturing performances. However, due to its complexity, it is difficult to deal with shop scheduling problems (SSP). Thus, SSP has received a lot of attention from industry and academia. Various kinds of methods have been proposed to solve SSP. Learning-based method is just one of the most representative methods for SSP. This paper focuses on reviewing the learning-based methods for SSP. Firstly, the methods for SSP are briefly introduced. Then, its description and model are provided and its classification is discussed. Next, the learning-based methods for SSP are classified according to the machine learning technique used in the methods. Based on the classification, the related work on each type of learning-based methods for SSP is summarized and further analyzed and compared with other traditional methods. Finally, the future research opportunities and challenges of the learning-based methods for SSP are summarized. 

  • 21.
    Liu, Yu
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Integrating life cycle assessment into simulation-based decision support2022Licentiate thesis, comprehensive summary (Other academic)
    Abstract [en]

    Increasing marketing and legislative requirements put heavy demands on the environmental performance of future transportation solutions. The resulting need to reduce total environmental impacts presents both challenges and opportunities to the transport sector as a whole, including the automotive industry. Life cycle assessment (LCA) is commonly used to evaluate environmental performance in the automotive industry. However, the static nature of LCAlimits its usefulness for capturing dynamic environmental consequences in the manufacturing and operational phase. This thesis proposes a simulation-based approach to LCA that addresses this problem. Selected real-world case studies demonstrate the potential of the approach in both vehicle production processes and end-user applications. The work was preceded by a comprehensive review of the potential benefits and challenges of using simulation-based LCA in production processes. This review laid the foundation for the development and implementation of this method inthe automotive industry. Two real-world case studies demonstrate its value. The first was a waste collection case study in which LCA was integrated in an existing simulation-based decision support tool to optimize the company’s activities froma life cycle environmental impact perspective. A simultaneously developed simulation-based LCA model of an iron foundry production line extended the applicability of the method with a proposed decision support interpretation approach. The study shows that data and information from both simulation model and LCA databases can be integrated and utilized in the developed simulation-based LCA method. This allows different systems with different configurations to be combined to assess the relevant parameters, and eventually to provide information about overall environmental impacts to decision makers to improvethe environmental sustainability of the automotive industry.

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  • 22.
    Lu, Xin
    et al.
    Department of Computing and Informatics, Bournemouth University, Bournemouth, United Kingdom.
    Wang, Wei
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Li, Weidong
    School of Mechanical Engineering, University of Shanghai for Science and Technology, China.
    Jing, Yanguo
    Faculty of Business, Computing and Digital Industries Leeds Trinity University, United Kingdom.
    Li, Xiaoxia
    College of Informatics, Huazhong Agricultural University, Wuhan, China.
    A Generic Digital Twin Framework for Collaborative Supply Chain Development2022In: 2022 5th International Conference on Computing and Big Data (ICCBD 2022), IEEE, 2022, p. 177-181Conference paper (Refereed)
    Abstract [en]

    Current Supply Chains (SCs) are complex and diverse along with fragile to SC disruptions. This leads urgently needs to develop an intelligent, transparent, collaborative and resilient SC system to cope with unexpected SC disruptions. Digital twin (DT) is one of the most promising solutions to develop smart SCs that has been extensively studied recent years. However, SCDT paradigm is still at an early stage. This paper presents a generic and modularized five layers DT framework to provide a flexible and collaborative solution, which can be compatible with different DT systems in various SCs. The feasibility of the proposed framework is validated through a practical implementation in a distributed eyewear industry. 

  • 23.
    Mahmoud, Sara
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    The Kaizen Agent: A self-driving car continuously learns by imagination2019Report (Other academic)
    Abstract [en]

    For an agent to autonomously interact in a real world environment, it needs tolearn how to behave in the different scenarios that it may face. There are differentapproaches of modeling an artificial agent with interactive capabilities. Oneapproach is providing the agent with knowledge beforehand. Another approachis to let the agent learn from data and interaction. A well-known techniques ofthe former approach is supervised learning. In this approach, data is collected,labeled and provided to train the network as pre-defined input and correct outputas a training set. This requires data to be available beforehand. In a realworld environment however, it is difficult to determine all possible interactionsand provide the correct response to each. The agent thus needs to be able tolearn by itself from the environment to figure out the best reaction in each situation.To facilitate this, the agent needs to be able to sense the environment,make decisions and react back to the environment. The agent repeats this tryingdifferent decisions. To learn from these trials, the agent needs to accumulate oldexperiences, learn and adjust its knowledge and develop progressively after eachinteraction. However, in many applications, experiencing various actions in differentscenarios is difficult, dangerous or even impossible. The agent thereforeneeds an experimental environment where it can safely explore the possibilities,learn from experiences and develop new skills.This research aims to develop a methodology to build an interactive learningagent that can improve its learning performance progressively and perform wellin real world environments. The agent follows the Japanese concept Kaizenwhich refers to activities that continuously improve all functions. It meansstriving for continuous improvement and not radically changing processes. Thecontribution of this research is first to model and develop this agent so thatit can acquire new knowledge based on existing knowledge without negativelyaffecting the old knowledge and skills. Secondly, this research aims to developa novel method to systematically generate synthetic scenarios that contributesto its learning performance.This proposal consists of the background of artificial cognitive systems, acomparison of the theories and approaches in artificial cognitive systems fordeveloping a learning interactive system, and a review of the state of the artin reinforcement learning. Imagination-based learning is discussed and the purposesof imagination are defined. Imagination for creation is used as a scenariogenerator for practicing new skills without the necessity to try them all in thereal world. The research proposal results in the research questions and objectivesto be investigated as well as an outline of the methodology.

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    The Kaizen Agent- A self-driving car continuously learns by imagination
  • 24.
    Mahmoud, Sara
    et al.
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Billing, Erik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Svensson, Henrik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    Thill, Serge
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment. Donders Institute for Brain, Cognition, and Behaviour, Radboud University, Nijmegen, Netherlands.
    Where to from here?: On the future development of autonomous vehicles from a cognitive systems perspective2022In: Cognitive Systems Research, ISSN 2214-4366, E-ISSN 1389-0417, Vol. 76, p. 63-77Article in journal (Refereed)
    Abstract [en]

    Self-driving cars not only solve the problem of navigating safely from location A to location B; they also have to deal with an abundance of (sometimes unpredictable) factors, such as traffic rules, weather conditions, and interactions with humans. Over the last decades, different approaches have been proposed to design intelligent driving systems for self-driving cars that can deal with an uncontrolled environment. Some of them are derived from computationalist paradigms, formulating mathematical models that define the driving agent, while other approaches take inspiration from biological cognition. However, despite the extensive work in the field of self-driving cars, many open questions remain. Here, we discuss the different approaches for implementing driving systems for self-driving cars, as well as the computational paradigms from which they originate. In doing so, we highlight two key messages: First, further progress in the field might depend on adapting new paradigms as opposed to pushing technical innovations in those currently used. Specifically, we discuss how paradigms from cognitive systems research can be a source of inspiration for further development in modeling driving systems, highlighting emergent approaches as a possible starting point. Second, self-driving cars can themselves be considered cognitive systems in a meaningful sense, and are therefore a relevant, yet underutilised resource in the study of cognitive mechanisms. Overall, we argue for a stronger synergy between the fields of cognitive systems and self-driving vehicles.

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    fulltext
  • 25. Montebelli, Alberto
    et al.
    Ruaro, Elisabetta
    Torre, Vincent
    Towards the neurocomputer2001Conference paper (Refereed)
  • 26.
    Ruiz Zúñiga, Enrique
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A simulation-based approach for optimization of production logistics with consideration to production layout: Research Proposal2016Report (Other academic)
    Abstract [en]

    Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of adaptations over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this project suggests the combined use of Discrete-Event Simulation (DES) and Simulation-Based Multi-objective Optimization (SBO) under the umbrella of a design and creation research strategy. The aim of the project is to support the improvement and optimization of high product mix and a low-volume of customized products manufacturing systems by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. The potential results can serve for decision makers and stakeholders to apply changes and adaptations in the system considering the mid and long term goals of the company. Going through different case studies implemented in a middle-size water pumps manufacturer, this methodology will be useful in practice and it will provide a decision support system for this specific industrial partner and will serve as a guideline for other manufacturing companies.

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    fulltext
  • 27.
    Ruiz Zúñiga, Enrique
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Flores García, Erik
    Innovation and Product Realisation, Mälardalen University.
    Urenda Moris, Matías
    Division of Industrial Engineering and Management, Uppsala University.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Challenges of Simulation-based Optimization in Facility Layout Design of Production Systems2019In: Advances in Manufacturing Technology XXXIII: Proceedings of the 17th International Conference on Manufacturing Research, incorporating the 34th National Conference on Manufacturing Research, September 10–12, 2019, Queen’s University Belfast, UK / [ed] Yan Jin, Mark Price, Amsterdam: IOS Press, 2019, Vol. 9, p. 507-512Conference paper (Refereed)
    Abstract [en]

    Facility layout design (FLD) is becoming more challenging than ever. In particular, modern day manufacturing industry requires advancing from a traditional approach of mass production to one of mass customization including increased flexibility and adaptability. There are several software tools that can support facility layout design among which simulation and optimization are the most powerful – especially when the two techniques are combined into simulation-based optimization (SBO). The aim of this study is to identify the challenges of SBO in FLD of production systems. In doing so, this paper uncovers the challenges of SBO and FLD, which are so far addressed in separate streams of literature. The results of this study present two novel contributions based on two case studies in the Swedish manufacturing industry. First, that challenges of SBO in FLD, previously identified in literature, do not hold equal importance in industrial environments. Our results suggest that challenges in complexity, data noise, and standardization take precedence over challenges of SBO in FLD previously reported in literature. Second, that the origin of challenges of SBO in FLD are not technological in nature, but stem from the increased complexity of factories required in modern day manufacturing companies.

  • 28.
    Ruiz Zúñiga, Enrique
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Urenda Moris, Matias
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Integrating Simulation-Based Optimization, Lean, and the Concepts of Industry 4.02017In: 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. 3828-3839Conference paper (Refereed)
    Abstract [en]

    Nowadays, due to the need of innovation and adaptation for the mass production of customized goods,many industries are struggling to compete with the manufacturing sector emerging in different countriesaround the world. The understanding and implementation of different improvement techniques isnecessary in order to take part in the so-called fourth industrial revolution, Industry 4.0. This paperinvestigates how two well-known improvement approaches, namely lean and simulation-basedoptimization, can be combined with the concepts of Industry 4.0 to improve efficiency and avoid movingproduction to other countries. Going through an industrial case study, the paper discusses how such acombination could be carried out and how the different strengths of the three approaches can be utilizedtogether. The case study focuses on how the efficiency of a production site can be increased and howIndustry 4.0 can support the improvement of the internal logistics on the shop floor.

  • 29.
    Ruiz Zúñiga, Enrique
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Urenda Moris, Matías
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    A simulation-based multi-objective optimization approach for production and logistics considering the production layout2016In: Proceedings of the 7th Swedish Production Symposium, 2016Conference paper (Refereed)
    Abstract [en]

    Manufacturing sectors in Sweden have a long tradition and represent a significant share of the national gross domestic product and the export values. Most of the Swedish manufacturing companies have gone through a modernization and adaptation process in order to be able to compete on a globalized market. Many plants, however, still have non-optimized shop floors as a consequence of the shop floors being adapted over time without redesigning its production and logistics flows and with a lack of an overall strategy. To support the optimization of shop floors, this paper suggests the combined use of Discrete-Event Simulation and Simulation-Based Multi-objective Optimization. The aim of the paper is to analyze a simulation methodology that supports the optimization of shop floors by considering production and logistics flows along with the shop floor layout. The methodology is intended to contribute to significantly increase the productivity and efficiency of the Swedish manufacturing industry and help companies to survive on the globalized market. Through a case study, the paper shows that the proposed methodology is useful in practice and that it provides a decision support system for manufacturing companies.

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    fulltext
  • 30.
    Ruiz Zúñiga, Enrique
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Urenda Moris, Matías
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Syberfeldt, Anna
    University of Skövde, School of Engineering Science. University of Skövde, The Virtual Systems Research Centre.
    Production Logistics Design and Development Support: A Simulation-Based Optimization Case Study (WIP)2016In: SummerSim'16, 2016 July 24-27, Palais des congres de Montreal (Montreal Convention Center) | Montreal, Quebec, Canada / [ed] Society for Modeling & Simulation International (SCS), The Society for Modeling and Simulation International, 2016, p. 56:1-56:6, article id 56Conference paper (Refereed)
    Abstract [en]

    Manufacturing sectors in Sweden have a long history that leads to common non-optimized flows on the shop floor. Especially when having a really high product mix and a low-volume of customized products, a great deal of effort with respect to flow optimization is needed to stay present and compete in the globalized market. The goal of this project is to support the design and development of the implementation of new production systems and logistics flows considering the shop floor plant layout of a Swedish middle-size water pumps factory. In this paper, with the help of different types of simulation models and optimization, some results of a new technologically adapted production line are analyzed and relevant information and potential improvements in the production are found. The further development of optimization studies using the exiting simulation models is stated as ongoing and future work. The obtained and potential results can serve for decision makers and stakeholders to apply changes and adaptations in the system considering the mid and long term goals of the company.

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    SummerSim Enrique Ruiz
  • 31.
    Sandhu, Gurmit
    et al.
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Muttenz, Switzerland.
    Kilburg, Anne
    Kilburg Dialogue, Allschwil, Switzerland.
    Martin, Andreas
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Pande, Charuta
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Witschel, Hans Friedrich
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Laurenzi, Emanuele
    FHNW University of Applied Sciences and Arts Northwestern Switzerland, Olten, Switzerland.
    Billing, Erik
    University of Skövde, School of Informatics. University of Skövde, Informatics Research Environment.
    A Learning Tracker using Digital Biomarkers for Autistic Preschoolers2022In: Proceedings of the Society 5.0 Conference 2022 - Integrating Digital World and Real World to Resolve Challenges in Business and Society / [ed] Knut Hinkelmann; Aurona Gerber, EasyChair , 2022, p. 219-230Conference paper (Refereed)
    Abstract [en]

    Preschool children, when diagnosed with Autism Spectrum Disorder (ASD), often ex- perience a long and painful journey on their way to self-advocacy. Access to standard of care is poor, with long waiting times and the feeling of stigmatization in many social set- tings. Early interventions in ASD have been found to deliver promising results, but have a high cost for all stakeholders. Some recent studies have suggested that digital biomarkers (e.g., eye gaze), tracked using affordable wearable devices such as smartphones or tablets, could play a role in identifying children with special needs. In this paper, we discuss the possibility of supporting neurodiverse children with technologies based on digital biomark- ers which can help to a) monitor the performance of children diagnosed with ASD and b) predict those who would benefit most from early interventions. We describe an ongoing feasibility study that uses the “DREAM dataset”, stemming from a clinical study with 61 pre-school children diagnosed with ASD, to identify digital biomarkers informative for the child’s progression on tasks such as imitation of gestures. We describe our vision of a tool that will use these prediction models and that ASD pre-schoolers could use to train certain social skills at home. Our discussion includes the settings in which this usage could be embedded. 

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  • 32.
    Staron, Mirolaw
    et al.
    University of Gothenburg.
    Hansson, JörgenUniversity of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.Bosch, JanChalmers University of Technology.
    Performance in software development – Special issue editorial2014Collection (editor) (Other academic)
  • 33.
    Staron, Miroslaw
    et al.
    University of Gothenburg.
    Hansson, Jörgen
    University of Skövde, School of Informatics. University of Skövde, The Informatics Research Centre.
    Bosch, Jan
    Chalmers University of Technology.
    Performance in software development – Special issue editorial2014In: Information and Software Technology, ISSN 0950-5849, E-ISSN 1873-6025, Vol. 56, no 5, p. 463-464p. 463-464Article in journal (Refereed)
  • 34.
    Sundberg, Martin
    et al.
    University of Skövde, Department of Engineering Science.
    Ng, Amos
    University of Skövde, Department of Engineering Science.
    De Vin, Leo
    University of Skövde, Department of Engineering Science.
    Distributed modular logic controllers for modular conveyor systems2003In: Knowledge Driven Manufacturing: Proceedings of the 20th International Manufacturing Conference IMC20 3rd to 5th September 2003 / [ed] Matthew Cotterell, Cork: Cork Institute of Technology Press , 2003, p. 493-502Conference paper (Refereed)
  • 35.
    Syberfeldt, Anna
    University of Skövde, School of Technology and Society. University of Skövde, The Virtual Systems Research Centre.
    Simulation Optimization of Waste Collection Based on Ultrasonic Level Measurements2013In: Proceedings of Industrial Simulation Conference, May 22-24, Ghent, Belgium / [ed] Veronique Limère; El-Houssaine Aghezzaf, Eurosis , 2013, p. 227-232Conference paper (Refereed)
    Abstract [en]

    This paper describes a study of improving the waste collection process through real-time simulation-optimizationbased onultrasonic level measurements. In the study,ultrasonic level meters are placed inside waste containers and programmed to send measurement values to a computer server via GPRS at regular intervals. The measurement values are processed in a simulation-optimizationprogram in order to determine which waste containers to visit a specific day. The program tries to minimize the number of collections over time while at the same time find the best routesto take. The aim of this approach is to minimize the driving distance and thereby minimize CO2 emissions.

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    fulltext
  • 36.
    Tadesse, Yohannes
    et al.
    University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment.
    Ding, Jianguo
    Department of Computer Science, Blekinge Institute of Technology, Karlskrona, Sweden.
    Survey on blockchain for smart grid management, control, and operation2022In: Energies, E-ISSN 1996-1073, Vol. 15, no 1, article id 193Article, review/survey (Refereed)
    Abstract [en]

    Power generation, distribution, transmission, and consumption face ongoing challenges such as smart grid management, control, and operation, resulting from high energy demand, the diversity of energy sources, and environmental or regulatory issues. This paper provides a comprehensive overview of blockchain-based solutions for smart grid management, control, and operations. We systematically summarize existing work on the use and implementation of blockchain technology in various smart grid domains. The paper compares related reviews and highlights the challenges in the management, control, and operation for a blockchain-based smart grid as well as future research directions in the five categories: collaboration among stakeholders; data analysis and data manage-ment; control of grid imbalances; decentralization of grid management and operations; and security and privacy. All these aspects have not been covered in previous reviews. 

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    fulltext
  • 37.
    Tudero, Aitor
    et al.
    University of Skövde, School of Engineering Science.
    Azkue, Julen
    University of Skövde, School of Engineering Science.
    Emulation of a manufacturing process: Focusing on maintenance and operator training2017Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    Having well-trained operators is a crucial need for Volvo Group Truck Operations (GTO). Mistakes from the factory staff may cause the production line to stop, and lead to economic losses. For this reason, Volvo GTO has decided to investigate the possibility of creating an emulation model from the production line and using it to train operators and maintenance personnel. The aim of this thesis is to develop an Operator Training Station (OTS) for the OP035 of the Volvo GTO Production Line 6. In the first part, a literature research was conducted, from which the authors gained insight into related fields such as emulation, virtual environments, and operator training. After that, an emulation model of theOP035 was created using some hardware from the factory. The real PLC program was analyzed and then modified in order to implement it to the emulation model. Then, communications were established between the different parts; emulation model and PLC program. Finally, a research of the common failures and problems of the production line was carried out, with the aim of being able to reproduce them in the Operator Training Station. Once the OTS was implemented, several tests had undergone to validate its behavior. These experiments verified that the emulation model was an accurate representation of the real system and validated its appropriateness for the operator training application

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    ThesisWork_a16aittu_a16julaz
  • 38.
    Unibaso Eguzkitza, Beñat
    et al.
    University of Skövde, School of Engineering Science.
    Ismail Dobón, Ismael
    University of Skövde, School of Engineering Science.
    Development of a flexible test platform utilizing gearbox simulators through programming2016Independent thesis Basic level (degree of Bachelor), 20 credits / 30 HE creditsStudent thesis
    Abstract [en]

    A gearbox simulator is developed as platform for testing and demonstrating purposes. For that, a rig composed by a mechanical system and electronic equipment for controlling two servomotors is used. The objective of this equipment is to simulate the forces that the gearbox would transmit to the gear lever when the gear change operation is being carried-out. To reach this goal, a program is developed in LabVIEW to command the servomotors, emulating the forces by controlling the output torque and transmitting them to the gear stick as it would be in a real gearbox, taking into account real force-angle curves. Also, a graphical user interface is developed in order to monitor the simulator performance ad ease the way the data is chosen and introduced into the software.As seen in the experiment results, the graphs present similarities in shape and magnitude, which is important in regards of feeling; a better performance could be reach suppressing some system constraints.

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    Development of a flexible test platform utilizing gearbox simulators through programming
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