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Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model

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  • Mossa, G.
  • Boenzi, F.
  • Digiesi, S.
  • Mummolo, G.
  • Romano, V.A.

Abstract

The competitiveness of modern manufacturing systems is based on a high production rate and a high level of flexibility. Despite the high level of automation achieved in production systems, flexibility is often provided by human dexterity and the cognitive capabilities of the workforce, as in assembly lines. In the case of repetitive manual tasks, workers are exposed to the risk of musculoskeletal disorders (MSDs). In these contexts, a high production rate leads to high physical workload, and job rotation is adopted in order to reduce the ergonomic risk. Traditionally, ergonomics and human performance issues have been investigated separately. However, in the design and scheduling of human-based manufacturing systems, a reliable description of human components is required in order to jointly evaluate production system performance and assess workers׳ risk of MSDs

Suggested Citation

  • Mossa, G. & Boenzi, F. & Digiesi, S. & Mummolo, G. & Romano, V.A., 2016. "Productivity and ergonomic risk in human based production systems: A job-rotation scheduling model," International Journal of Production Economics, Elsevier, vol. 171(P4), pages 471-477.
    • Handle: RePEc:eee:proeco:v:171:y:2016:i:p4:p:471-477
    DOI: 10.1016/j.ijpe.2015.06.017
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Thulisile Manyi & Rosemary Sibanda & Ankit Katrodia, 2018. "The Effect of Using Multi-Skilled Workforce on the Flexibility of Project Resource Scheduling and Project Costs," Journal of Economics and Behavioral Studies, AMH International, vol. 10(4), pages 235-251.
    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. 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. Marco Trost & Thorsten Claus & Frank Herrmann, 2023. "Master Production Scheduling with Consideration of Utilization-Dependent Exhaustion and Capacity Load," Sustainability, MDPI, vol. 15(8), pages 1-20, April.
    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. Ercan Şenyiğit & Uğur Atici & Mehmet Burak Şenol, 2022. "Effects of OCRA parameters and learning rate on machine scheduling," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(3), pages 941-959, September.
    8. Bouaziz, Nourddine & Bettayeb, Belgacem & Sahnoun, M’hammed & Yassine, Adnan, 2024. "Incorporating uncertain human behavior in production scheduling for enhanced productivity in Industry 5.0 context," International Journal of Production Economics, Elsevier, vol. 274(C).
    9. László Péter Pusztai & Lajos Nagy & István Budai, 2023. "A Risk Management Framework for Industry 4.0 Environment," Sustainability, MDPI, vol. 15(2), pages 1-19, January.
    10. 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).

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