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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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A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies

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dc.contributor.author Asensio-Cuesta, Sabina es_ES
dc.contributor.author Garcia-Gomez, Juan M es_ES
dc.contributor.author Poza-Lujan, Jose-Luis es_ES
dc.contributor.author Conejero, J. Alberto es_ES
dc.date.accessioned 2020-12-23T04:31:51Z
dc.date.available 2020-12-23T04:31:51Z
dc.date.issued 2019-12 es_ES
dc.identifier.issn 1660-4601 es_ES
dc.identifier.uri http://hdl.handle.net/10251/157768
dc.description.abstract [EN] 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. es_ES
dc.description.sponsorship This research was funded by the Erasmus+ program of the European Commission under Grant 2017-1-ES01-KA203-038589 in the frame of the project CoSki21-Core Skills for 21th-century professionals. es_ES
dc.language Inglés es_ES
dc.publisher MDPI AG es_ES
dc.relation.ispartof International Journal of Environmental research and Public Health es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Job rotation es_ES
dc.subject Preferences es_ES
dc.subject Competencies es_ES
dc.subject Ergonomics es_ES
dc.subject Gale-Shapley method es_ES
dc.subject Game-theory es_ES
dc.subject Musculoskeletal disorders es_ES
dc.subject.classification MATEMATICA APLICADA es_ES
dc.subject.classification CIENCIAS DE LA COMPUTACION E INTELIGENCIA ARTIFICIAL es_ES
dc.subject.classification ARQUITECTURA Y TECNOLOGIA DE COMPUTADORES es_ES
dc.subject.classification PROYECTOS DE INGENIERIA es_ES
dc.title A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.3390/ijerph16234666 es_ES
dc.relation.projectID info:eu-repo/grantAgreement/EC/Erasmus+/2017-1-ES01-KA203-038589/EU/Core Skills for 21st Century Professionals/ es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Informática de Sistemas y Computadores - Departament d'Informàtica de Sistemes i Computadors es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Física Aplicada - Departament de Física Aplicada es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Proyectos de Ingeniería - Departament de Projectes d'Enginyeria es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada es_ES
dc.description.bibliographicCitation Asensio-Cuesta, S.; Garcia-Gomez, JM.; Poza-Lujan, J.; Conejero, JA. (2019). A Game-Theory method to design job rotation schedules to prevent musculoskeletal disorders Based on workers preferences and competencies. International Journal of Environmental research and Public Health. 16(23):1-16. https://doi.org/10.3390/ijerph16234666 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.3390/ijerph16234666 es_ES
dc.description.upvformatpinicio 1 es_ES
dc.description.upvformatpfin 16 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 16 es_ES
dc.description.issue 23 es_ES
dc.identifier.pmid 31771124 es_ES
dc.identifier.pmcid PMC6926966 es_ES
dc.relation.pasarela S\397852 es_ES
dc.contributor.funder European Commission es_ES
dc.description.references Aptel, M., Cail, F., Gerling, A., & Louis, O. (2008). Proposal of parameters to implement a workstation rotation system to protect against MSDs. International Journal of Industrial Ergonomics, 38(11-12), 900-909. doi:10.1016/j.ergon.2008.02.006 es_ES
dc.description.references Jeon, I. S., Jeong, B. Y., & Jeong, J. H. (2016). Preferred 11 different job rotation types in automotive company and their effects on productivity, quality and musculoskeletal disorders: comparison between subjective and actual scores by workers’ age. Ergonomics, 59(10), 1318-1326. doi:10.1080/00140139.2016.1140816 es_ES
dc.description.references Botti, L., Mora, C., & Calzavara, M. (2017). Design of job rotation schedules managing the exposure to age-related risk factors. IFAC-PapersOnLine, 50(1), 13993-13997. doi:10.1016/j.ifacol.2017.08.2420 es_ES
dc.description.references Sixth European Working Conditions Survey-6th EWCS-Spainhttps://www.eurofound.europa.eu/surveys/european-working-conditions-surveys/sixth-european-working-conditions-survey-2015/ewcs-2015-methodology es_ES
dc.description.references Asensio-Cuesta, S., Diego-Mas, J. A., Canós-Darós, L., & Andrés-Romano, C. (2011). A genetic algorithm for the design of job rotation schedules considering ergonomic and competence criteria. The International Journal of Advanced Manufacturing Technology, 60(9-12), 1161-1174. doi:10.1007/s00170-011-3672-0 es_ES
dc.description.references Yoon, S.-Y., Ko, J., & Jung, M.-C. (2016). A model for developing job rotation schedules that eliminate sequential high workloads and minimize between-worker variability in cumulative daily workloads: Application to automotive assembly lines. Applied Ergonomics, 55, 8-15. doi:10.1016/j.apergo.2016.01.011 es_ES
dc.description.references Otto, A., & Scholl, A. (2012). Reducing ergonomic risks by job rotation scheduling. OR Spectrum, 35(3), 711-733. doi:10.1007/s00291-012-0291-6 es_ES
dc.description.references Carnahan, B. J., Redfern, M. S., & Norman, B. (2000). Designing safe job rotation schedules using optimization and heuristic search. Ergonomics, 43(4), 543-560. doi:10.1080/001401300184404 es_ES
dc.description.references Song, J., Lee, C., Lee, W., Bahn, S., Jung, C., & Yun, M. H. (2016). Development of a job rotation scheduling algorithm for minimizing accumulated work load per body parts. Work, 53(3), 511-521. doi:10.3233/wor-152232 es_ES
dc.description.references Boenzi, F., Digiesi, S., Facchini, F., & Mummolo, G. (2016). Ergonomic improvement through job rotations in repetitive manual tasks in case of limited specialization and differentiated ergonomic requirements. IFAC-PapersOnLine, 49(12), 1667-1672. doi:10.1016/j.ifacol.2016.07.820 es_ES
dc.description.references Sana, S. S., Ospina-Mateus, H., Arrieta, F. G., & Chedid, J. A. (2018). Application of genetic algorithm to job scheduling under ergonomic constraints in manufacturing industry. Journal of Ambient Intelligence and Humanized Computing, 10(5), 2063-2090. doi:10.1007/s12652-018-0814-3 es_ES
dc.description.references Burgess-Limerick, R. (2018). Participatory ergonomics: Evidence and implementation lessons. Applied Ergonomics, 68, 289-293. doi:10.1016/j.apergo.2017.12.009 es_ES
dc.description.references Bhuiyan, B. A. (2018). An Overview of Game Theory and Some Applications. Philosophy and Progress, 111-128. doi:10.3329/pp.v59i1-2.36683 es_ES
dc.description.references Gale, D., & Shapley, L. S. (1962). College Admissions and the Stability of Marriage. The American Mathematical Monthly, 69(1), 9-15. doi:10.1080/00029890.1962.11989827 es_ES
dc.description.references Roth, A. E. (2008). What Have We Learned from Market Design? The Economic Journal, 118(527), 285-310. doi:10.1111/j.1468-0297.2007.02121.x es_ES
dc.description.references Roth, A. E., & Sotomayor, M. (1992). Chapter 16 Two-sided matching. Handbook of Game Theory with Economic Applications, 485-541. doi:10.1016/s1574-0005(05)80019-0 es_ES
dc.description.references Renna, P. (2017). Decision-making method of reconfigurable manufacturing systems’ reconfiguration by a Gale-Shapley model. Journal of Manufacturing Systems, 45, 149-158. doi:10.1016/j.jmsy.2017.09.005 es_ES
dc.description.references Butkovič, P., & Lewis, S. (2007). On the job rotation problem. Discrete Optimization, 4(2), 163-174. doi:10.1016/j.disopt.2006.11.003 es_ES
dc.subject.ods 08.- Fomentar el crecimiento económico sostenido, inclusivo y sostenible, el empleo pleno y productivo, y el trabajo decente para todos es_ES
dc.subject.ods 03.- Garantizar una vida saludable y promover el bienestar para todos y todas en todas las edades es_ES


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