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A Game-Theory Method to Design Job Rotation Schedules to Prevent Musculoskeletal Disorders Based on Workers’ Preferences and Competencies

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  • Sabina Asensio-Cuesta

    (Instituto de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain)

  • Juan M. García-Gómez

    (Instituto de Tecnologías de la Información y Comunicaciones (ITACA), Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain)

  • José-Luis Poza-Luján

    (Instituto Universitario de Áutomática e Informática Industrial, Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain)

  • J. Alberto Conejero

    (Instituto Universitario de Matemática Pura y Aplicada, Universitat Politècnica de València, Camino de Vera s/n, 46022 València, Spain)

Abstract

Job rotation is an organizational strategy based on the systematic exchange of workers between jobs in a planned manner according to specific criteria. This study presents the GS-Rot method, a method based on Game Theory, in order to design job rotation schedules by considering not only workers’ job preferences, but also the competencies required for different jobs. With this approach, we promote workers’ active participation in the design of the rotation plan. It also let us deal with restrictions in assigning workers to job positions according to their disabilities (temporal or permanent). The GS-Rot method has been implemented online and applied to a case in a work environment characterized by the presence of a high repetition of movements, which is a significant risk factor associated with work-related musculoskeletal disorders (WMSDs). A total of 17 workstations and 17 workers were involved in the rotation, four of them with physical/psychological limitations. Feasible job rotation schedules were obtained in a short time (average time 27.4 milliseconds). The results indicate that in the rotations driven by preference priorities, almost all the workers (94.11%) were assigned to one of their top five preferences. Likewise, 48.52% of job positions were assigned to workers in their top five of their competence lists. When jobs were assigned according to competence, 58.82% of workers got an assignment among their top five competence lists. Furthermore, 55.87% of the workers achieved jobs in their top five preferences. In both rotation scenarios, the workers varied performed jobs, and fatigue accumulation was balanced among them. The GS-Rot method achieved feasible and uniform solutions regarding the workers’ exposure to job repetitiveness.

Suggested Citation

  • Sabina Asensio-Cuesta & Juan M. García-Gómez & José-Luis Poza-Luján & J. Alberto Conejero, 2019. "A Game-Theory Method to Design Job Rotation Schedules to Prevent Musculoskeletal Disorders Based on Workers’ Preferences and Competencies," IJERPH, MDPI, vol. 16(23), pages 1-16, November.
    • Handle: RePEc:gam:jijerp:v:16:y:2019:i:23:p:4666-:d:290109
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    References listed on IDEAS

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    1. Alvin E. Roth, 2009. "What Have We Learned from Market Design?," Innovation Policy and the Economy, University of Chicago Press, vol. 9(1), pages 79-112.
    2. Osborne, Martin J., 2009. "Introduction to Game Theory: International Edition," OUP Catalogue, Oxford University Press, number 9780195322484.
    3. Kaymaz, Kurtuluş, 2010. "The Effects of Job Rotation Practices on Motivation: A Research on Managers in the Automotive Organizations," Business and Economics Research Journal, Uludag University, Faculty of Economics and Administrative Sciences, vol. 1(3), pages 1-69, July.
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    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).
    2. Ruan C. M. Teixeira & Walter P. S. Guimarães & Josiel G. Ribeiro & Rubens A. Fernandes & Lennon B. F. Nascimento & Israel G. Torné & Fábio S. Cardoso & Gabriella R. Monteiro, 2022. "Analysis of the Reduction of Ergonomic Risks through the Implementation of an Automatic Tape Packaging Machine," IJERPH, MDPI, vol. 19(22), pages 1-18, November.
    3. Eryk Szwarc & Grzegorz Bocewicz & Paulina Golińska-Dawson & Zbigniew Banaszak, 2023. "Proactive Operations Management: Staff Allocation with Competence Maintenance Constraints," Sustainability, MDPI, vol. 15(3), pages 1-20, January.

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