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Designing Cyclic Job Rotations to Reduce the Exposure to Ergonomics Risk Factors

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  • Jose Antonio Diego-Mas

    (Instituto de Investigación e Innovación en Bioingeniería (I3B), Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain)

Abstract

Job rotation is an administrative solution to prevent work-related musculoskeletal disorders that has become widespread. However, job rotation schedules development is a complex problem. This is due to the multi-factorial character of the disorders and to the productive and organizational constraints of the real working environments. To avoid these problems, this work presents an evolutionary algorithm to generate rotation schedules in which a set of workers rotate cyclically over a small number of jobs while reducing the potential for injury. The algorithm is able to generate rotation schedules that optimize multiple ergonomics criteria by clustering the tasks into rotation groups, selecting the workers for each group, and determining the sequence of rotation of the workers to minimize the effects of fatigue. The algorithm reduces prolonged exposure to risks related to musculoskeletal injuries and simplifies the assignment of workers to different tasks in each rotation. The presented procedure can be an effective tool for the design of job-rotation schedules that prevent work-related musculoskeletal disorders while simplifying scheduled changeovers at each rotation and facilitating job monitoring.

Suggested Citation

  • Jose Antonio Diego-Mas, 2020. "Designing Cyclic Job Rotations to Reduce the Exposure to Ergonomics Risk Factors," IJERPH, MDPI, vol. 17(3), pages 1-17, February.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:3:p:1073-:d:318095
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    References listed on IDEAS

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    1. Costa, Alysson M. & Miralles, Cristóbal, 2009. "Job rotation in assembly lines employing disabled workers," International Journal of Production Economics, Elsevier, vol. 120(2), pages 625-632, August.
    2. Wipawee Tharmmaphornphilas & Bryan Norman, 2007. "A methodology to create robust job rotation schedules," Annals of Operations Research, Springer, vol. 155(1), pages 339-360, November.
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    4. Tor Eriksson & Jaime Ortega, 2006. "The Adoption of Job Rotation: Testing the Theories," ILR Review, Cornell University, ILR School, vol. 59(4), pages 653-666, July.
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    Cited by:

    1. 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).

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