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Application of Multi-objective Optimization on Ergonomics in Production: A Case Study
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0002-3129-7076
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0003-4596-3815
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Produktion och automatiseringsteknik, Production and Automation Engineering)ORCID iD: 0000-0003-3973-3394
University of Skövde, School of Engineering Science. University of Skövde, Virtual Engineering Research Environment. (Användarcentrerad produktdesign, User Centred Product Design)ORCID iD: 0000-0002-0125-0832
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2020 (English)In: Advances in Additive Manufacturing, Modeling Systems and 3D Prototyping: Proceedings of the AHFE 2019 International Conference on Additive Manufacturing, Modeling Systems and 3D Prototyping, July 24-28, 2019, Washington D.C., USA / [ed] Massimo Di Nicolantonio; Emilio Rossi; Thomas Alexander, Springer, 2020, Vol. 975, p. 584-594Conference paper, Published paper (Refereed)
Abstract [en]

Taking a holistic perspective is central in production development, aiming to optimize ergonomics and overall production system performance. Hence, there is a need for tools and methods that can support production companies to identify the production system alternatives that are optimal regarding both ergonomics and production efficiency. The paper presents a devised case study where multi-objective optimization is applied, as a step to towards the development of such an optimization tool. The overall objective in the case study is to find the best order in which an operator performs manual tasks during a workday, considering ergonomics and production system efficiency simultaneously. More specifically, reducing the risk of injury from lifting tasks and improving the throughput are selected as the two optimization objectives. An optimization tool is developed, which communicates with a digital human modelling tool to simulate work tasks and assess ergonomics. 

Place, publisher, year, edition, pages
Springer, 2020. Vol. 975, p. 584-594
Series
Advances in Intelligent Systems and Computing, ISSN 2194-5357, E-ISSN 2194-5365 ; 975
Keywords [en]
Digital human modelling, Ergonomics, Optimization, Productivity, Simulation, 3D modeling, Additives, Efficiency, Manufacture, Holistic perspectives, Optimization tools, Production companies, Production development, Production efficiency, Tools and methods, Multiobjective optimization
National Category
Production Engineering, Human Work Science and Ergonomics
Research subject
User Centred Product Design; Production and Automation Engineering; VF-KDO
Identifiers
URN: urn:nbn:se:his:diva-17417DOI: 10.1007/978-3-030-20216-3_54ISI: 000643757800054Scopus ID: 2-s2.0-85067415239ISBN: 978-3-030-20215-6 (print)ISBN: 978-3-030-20216-3 (electronic)OAI: oai:DiVA.org:his-17417DiVA, id: diva2:1336567
Conference
International Conference on Applied Human Factors and Ergonomics (AHFE), Washington D.C, USA, July 24-28, 2019
Part of project
Synergy Virtual Ergonomics (SVE), Knowledge FoundationSUMMIT – SUstainability, sMart Maintenance and factory design Testbed, VinnovaVirtual factories with knowledge-driven optimization (VF-KDO), Knowledge FoundationAvailable from: 2019-07-09 Created: 2019-07-09 Last updated: 2023-08-16Bibliographically approved

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Iriondo Pascual, AitorHögberg, DanSyberfeldt, AnnaBrolin, ErikHanson, Lars

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