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
Hlavní autori: Abdous, Mohammed-Amine, Delorme, Xavier, Battini, Daria, Berger-Douce, Sandrine
Médium: Journal Article
Jazyk:English
Vydavateľské údaje: 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.
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
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  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
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  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
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  givenname: Daria
  orcidid: 0000-0002-4595-8912
  surname: Battini
  fullname: Battini, Daria
  organization: University of Padua
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  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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Issue 22
Keywords Industry 4.0
Industry 5.0
ergonomics
Assembly line balancing problem
multi-objective optimisation
assembly line design problem
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  start-page: 141
  year: 2008
  ident: e_1_3_3_32_1
  article-title: Optimal Level of Automation in the Automotive Industry
  publication-title: Eng. Lett.
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Snippet Manufacturing systems are socio-technical systems, with explicit interactions between humans and technologies in shared workspaces. These shared workspaces...
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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
URI https://www.tandfonline.com/doi/abs/10.1080/00207543.2022.2153185
https://www.proquest.com/docview/2869043207
https://hal-emse.ccsd.cnrs.fr/emse-03919040
Volume 61
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