Multi-objective collaborative assembly line design problem with the optimisation of ergonomics and economics
Manufacturing systems are socio-technical systems, with explicit interactions between humans and technologies in shared workspaces. These shared workspaces could also be called hybrid collaborative manufacturing systems, which involve workers as well as technological equipment and combine the benefi...
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| Vydané v: | International journal of production research Ročník 61; číslo 22; s. 7830 - 7845 |
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| Hlavní autori: | , , , |
| Médium: | Journal Article |
| Jazyk: | English |
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London
Taylor & Francis
17.11.2023
Taylor & Francis LLC |
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| ISSN: | 0020-7543, 1366-588X |
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| Abstract | Manufacturing systems are socio-technical systems, with explicit interactions between humans and technologies in shared workspaces. These shared workspaces could also be called hybrid collaborative manufacturing systems, which involve workers as well as technological equipment and combine the benefits of human workers and new Industry 4.0 technologies, such systems are particularly useful in a context requiring flexibility and adaptability. Furthermore, the new Industry 5.0 approach has the objective to shift toward more human-centric and resilient manufacturing systems. The key problems to solve in the design of collaborative manufacturing systems are the combinatorial assembly line balancing problem and the equipment selection problem. An efficient and sustainable line requires a cost-effective choice of equipment while improving the ergonomics and the safety of workers. Both decisions of balancing workload and the assignment of equipment impact the ergonomics of a collaborative system and present conflicting criteria. To this end, we propose a multi-objective approach, the objectives are the optimisation of the investment costs and the ergonomics with a fatigue and recovery criterion. We propose to linearise the fatigue and recovery to formulate a new Mixed Integer Linear Programming formulation. We developed an exact multi-objective solving algorithm based on the ϵ-constraint to obtain the trade-off between these objectives. We conducted numerical experiments with different instances from the literature with promising results for instances with up to 45 operations. Finally, we discuss insightful managerial conclusions and future research perspectives. |
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| AbstractList | Manufacturing systems are socio-technical systems, with explicit interactions between humans and technologies in shared workspaces. These shared workspaces could also be called hybrid collaborative manufacturing systems, which involve workers as well as technological equipment and combine the benefits of human workers and new Industry 4.0 technologies, such systems are particularly useful in a context requiring flexibility and adaptability. Furthermore, the new Industry 5.0 approach has the objective to shift toward more human-centric and resilient manufacturing systems. The key problems to solve in the design of collaborative manufacturing systems are the combinatorial assembly line balancing problem and the equipment selection problem. An efficient and sustainable line requires a cost-effective choice of equipment while improving the ergonomics and the safety of workers. Both decisions of balancing workload and the assignment of equipment impact the ergonomics of a collaborative system and present conflicting criteria. To this end, we propose a multi-objective approach, the objectives are the optimisation of the investment costs and the ergonomics with a fatigue and recovery criterion. We propose to linearise the fatigue and recovery to formulate a new Mixed Integer Linear Programming formulation. We developed an exact multi-objective solving algorithm based on the ϵ-constraint to obtain the trade-off between these objectives. We conducted numerical experiments with different instances from the literature with promising results for instances with up to 45 operations. Finally, we discuss insightful managerial conclusions and future research perspectives. |
| Author | Abdous, Mohammed-Amine Battini, Daria Berger-Douce, Sandrine Delorme, Xavier |
| Author_xml | – sequence: 1 givenname: Mohammed-Amine orcidid: 0000-0002-6378-1495 surname: Abdous fullname: Abdous, Mohammed-Amine email: amine.abdous@imt-nord-europe.fr organization: IMT Nord Europe, Institut Mines-Télécom, Univ Lille, Center for Digital Systems – sequence: 2 givenname: Xavier orcidid: 0000-0002-9465-1255 surname: Delorme fullname: Delorme, Xavier organization: Mines Saint-Etienne, Univ Clermont Auvergne, INP Clermont Auvergne, CNRS, UMR 6158 LIMOS – sequence: 3 givenname: Daria orcidid: 0000-0002-4595-8912 surname: Battini fullname: Battini, Daria organization: University of Padua – sequence: 4 givenname: Sandrine orcidid: 0000-0002-9645-4888 surname: Berger-Douce fullname: Berger-Douce, Sandrine organization: Mines Saint-Etienne, Univ Lyon, Univ Lumière Lyon 2, Univ Jean Monnet, UR COACTIS, Institut Henri Fayol |
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| Keywords | Industry 4.0 Industry 5.0 ergonomics Assembly line balancing problem multi-objective optimisation assembly line design problem |
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| SubjectTerms | Algorithms Assembly line balancing problem assembly line design problem Assembly lines Balancing Collaboration Combinatorial analysis Computer Science Design optimization Economics Ergonomics Hybrid systems Industry 4.0 Industry 5.0 Integer programming Linear programming Manufacturing Mixed integer Modeling and Simulation multi-objective optimisation Multiple objective analysis Recovery |
| Title | Multi-objective collaborative assembly line design problem with the optimisation of ergonomics and economics |
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