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Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research

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  • Niloofar Katiraee
  • Martina Calzavara
  • Serena Finco
  • Daria Battini
  • Olga Battaïa

Abstract

The effects of workforce differences on manufacturing systems have attracted the attention of a wide range of researchers in recent years. The differences between workers in terms of skills, age, gender and anthropometric measures have a large impact on production system performance. In this study, the workforce differences factors in production system design and modelling were investigated, with the aim of understanding how the differences between workers could influence a production system and how they had been considered in previous studies. The papers selected from the Scopus database were categorised based on whether how human factors are incorporated into manufacturing system optimisation and design approaches is discussed therein or is not. To find relevant papers, two sets of keywords were defined: (1) keywords relating to the differences between workers and (2) keywords relating to the kind of problem under study. Furthermore, the investigated papers helped highlight the strengths and weaknesses of the existing literature and derive a discussion on the possible future research steps.

Suggested Citation

  • Niloofar Katiraee & Martina Calzavara & Serena Finco & Daria Battini & Olga Battaïa, 2021. "Consideration of workers’ differences in production systems modelling and design: State of the art and directions for future research," International Journal of Production Research, Taylor & Francis Journals, vol. 59(11), pages 3237-3268, June.
    • Handle: RePEc:taf:tprsxx:v:59:y:2021:i:11:p:3237-3268
    DOI: 10.1080/00207543.2021.1884766
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    Cited by:

    1. Severino, Gonzalo & Rivera, José & Parot, Roberto & Otaegui, Ernesto & Fuentes, Andrés & Reszka, Pedro, 2024. "Workforce and task optimization to guarantee oxygen bottling under a COVID-19 pandemic scenario: A Chilean case study," International Journal of Production Economics, Elsevier, vol. 271(C).
    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. Battini, Daria & Berti, Nicola & Finco, Serena & Zennaro, Ilenia & Das, Ajay, 2022. "Towards industry 5.0: A multi-objective job rotation model for an inclusive workforce," International Journal of Production Economics, Elsevier, vol. 250(C).
    4. Gjulio Ashta & Serena Finco & Daria Battini & Alessandro Persona, 2023. "Passive Exoskeletons to Enhance Workforce Sustainability: Literature Review and Future Research Agenda," Sustainability, MDPI, vol. 15(9), pages 1-26, April.
    5. Henao, César Augusto & Mercado, Yessica Andrea & González, Virginia I. & Lüer-Villagra, Armin, 2023. "Multiskilled personnel assignment with k-chaining considering the learning-forgetting phenomena," International Journal of Production Economics, Elsevier, vol. 265(C).
    6. 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).
    7. Pabolu, Venkata Krishna Rao & Shrivastava, Divya & Kulkarni, Makarand S., 2022. "Modelling and prediction of worker task performance using a knowledge-based system application," International Journal of Production Economics, Elsevier, vol. 254(C).
    8. 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).
    9. Ranasinghe, Thilini & Senanayake, Chanaka D. & Grosse, Eric H., 2024. "Effects of stochastic and heterogeneous worker learning on the performance of a two-workstation production system," International Journal of Production Economics, Elsevier, vol. 267(C).

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