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Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model

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  • Daria Battini
  • Xavier Delorme
  • Alexandre Dolgui
  • Alessandro Persona
  • Fabio Sgarbossa

Abstract

In many assembly systems, ergonomics can have great impact on productivity and human safety. Traditional assembly systems optimisation approaches consider only time and cost variables, while few studies include also ergonomics aspects. In this study, a new multi-objective model for solving assembly line balancing problem is developed and discussed in order to include also the ergonomics aspect. First, based on main features of assembly workstations, the energy expenditure concept is used in order to estimate the ergonomics level, thanks to a new technique, called Predetermined Motion Energy System, which helps rapidly estimate the energy expenditure values. Then, a multi-objective approach, based on four different objective functions, is introduced in order to define the efficient frontiers of optimal solutions. To complete the study, a simple numerical example for a real case is presented to analyse the behaviour of Pareto frontiers varying several parameters linked to the energy and time value.

Suggested Citation

  • Daria Battini & Xavier Delorme & Alexandre Dolgui & Alessandro Persona & Fabio Sgarbossa, 2016. "Ergonomics in assembly line balancing based on energy expenditure: a multi-objective model," International Journal of Production Research, Taylor & Francis Journals, vol. 54(3), pages 824-845, February.
    • Handle: RePEc:taf:tprsxx:v:54:y:2016:i:3:p:824-845
    DOI: 10.1080/00207543.2015.1074299
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    Cited by:

    1. Diefenbach, Heiko & Emde, Simon & Glock, Christoph H., 2020. "Loading tow trains ergonomically for just-in-time part supply," European Journal of Operational Research, Elsevier, vol. 284(1), pages 325-344.
    2. Marco Trost & Thorsten Claus & Frank Herrmann, 2022. "Social Sustainability in Production Planning: A Systematic Literature Review," Sustainability, MDPI, vol. 14(13), pages 1-31, July.
    3. Mao, Zhaofang & Sun, Yiting & Fang, Kan & Huang, Dian & Zhang, Jiaxin, 2024. "Balancing and scheduling of assembly line with multi-type collaborative robots," International Journal of Production Economics, Elsevier, vol. 271(C).
    4. Xu, Shuling & Hall, Nicholas G., 2021. "Fatigue, personnel scheduling and operations: Review and research opportunities," European Journal of Operational Research, Elsevier, vol. 295(3), pages 807-822.
    5. Onay, Anita & Stampfer, Christina & Missbauer, Hubert, 2023. "A behavioral perspective on workload control concepts: The influence of order release on operators’ reaction behavior," International Journal of Production Economics, Elsevier, vol. 264(C).
    6. Boysen, Nils & Schulze, Philipp & Scholl, Armin, 2022. "Assembly line balancing: What happened in the last fifteen years?," European Journal of Operational Research, Elsevier, vol. 301(3), pages 797-814.
    7. Battaïa, Olga & Dolgui, Alexandre, 2022. "Hybridizations in line balancing problems: A comprehensive review on new trends and formulations," International Journal of Production Economics, Elsevier, vol. 250(C).
    8. Tiacci, Lorenzo & Mimmi, Mario, 2018. "Integrating ergonomic risks evaluation through OCRA index and balancing/sequencing decisions for mixed model stochastic asynchronous assembly lines," Omega, Elsevier, vol. 78(C), pages 112-138.
    9. Berti, Nicola & Finco, Serena & Battaïa, Olga & Delorme, Xavier, 2021. "Ageing workforce effects in Dual-Resource Constrained job-shop scheduling," International Journal of Production Economics, Elsevier, vol. 237(C).
    10. Ozdemir, Rifat & Sarigol, Ilkan & AlMutairi, Sarah & AlMeea, Sarah & Murad, Abrar & Naqi, Aseel & AlNasser, Noor, 2021. "Fuzzy multi-objective model for assembly line balancing with ergonomic risks consideration," International Journal of Production Economics, Elsevier, vol. 239(C).

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