Abstract
The aim of this article is to identify and analyse the methods that are being used to solve the Workforce Scheduling Problem (WSP) through a systematic review of the publications on this problem. This study aims to provide researchers with a starting point to advance in the approaches to solving the problem and in enriching the WSP with additional variables that complement it in a natural way. Finally, the most promising lines of research for the future are identified.
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Ayough, A., Zandieh, M., Farsijani, H.: GA and ICA approaches to job rotation scheduling problem: considering employee’s boredom. Int. J. Adv. Manuf. Technol. 60(5–8), 651–666 (2012). https://doi.org/10.1007/s00170-011-3641-7
Berman, O., Larson, R.C., Pinker, E.: Scheduling workforce and workflow in a high volume factory. Manag. Sci. 43(2), 158–172 (1997). https://doi.org/10.1287/mnsc.43.2.158
Chu, X., et al.: Worker assignment with learning-forgetting effect in cellular manufacturing system using adaptive memetic differential search algorithm. Comput. Ind. Eng. 136(July), 381–396 (2019). https://doi.org/10.1016/j.cie.2019.07.028
Eurofund. Working conditions in sectors. Publications Office of the European Union, Luxembourg (2020). https://www.eurofound.europa.eu/publications/report/2020/working-conditions-in-sectors
Hillier, F.S., Lieberman, G.J.: Introduction to Operations Research, 10 edn. McGraw-Hill, Stanford (2015)
Pérez-Cubero, E., Poler, R.: Aplicación de algoritmos de aprendizaje automático a la programación de órdenes de producción en talleres de trabajo: Una revisión de la literatura reciente. Direccion y Organizacion 72(72), 82–94 (2021). https://doi.org/10.37610/DYO.V0I72.588
Rinaldi, M., et al.: Workforce scheduling incorporating worker skills and ergonomic constraints. Comput. Ind. Eng. 168 (2021). https://doi.org/10.1016/j.cie.2022.108107
Sabar, M., Montreuil, B., Frayret, J.M.: A multi-agent-based approach for personnel scheduling in assembly centers. Eng. Appl. Artif. Intell. 22(7), 1080–1088 (2009). https://doi.org/10.1016/j.engappai.2009.02.009
Savino, M.M., Riccio, C., Menanno, M.: Empirical study to explore the impact of ergonomics on workforce scheduling. Int. J. Prod. Res. 58(2), 415–433 (2020). https://doi.org/10.1080/00207543.2019.1591645
Wu, L., et al.: Cross-trained worker assignment problem in cellular manufacturing system using swarm intelligence metaheuristics. Math. Probl. Eng. 2018 (2018). https://doi.org/10.1155/2018/4302062
Xin, B., et al.: An adaptive BPSO algorithm for multi-skilled workers assignment problem in aircraft assembly lines. Assem. Autom. 35(4), 317–328 (2015). https://doi.org/10.1108/AA-06-2015-051
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Pérez-Cubero, E., Poler, R., Vicens, E. (2024). The Workforce Scheduling Problem (WSP): A Review of the Literature. In: Bautista-Valhondo, J., Mateo-Doll, M., Lusa, A., Pastor-Moreno, R. (eds) Proceedings of the 17th International Conference on Industrial Engineering and Industrial Management (ICIEIM) – XXVII Congreso de Ingeniería de Organización (CIO2023). CIO 2023. Lecture Notes on Data Engineering and Communications Technologies, vol 206. Springer, Cham. https://doi.org/10.1007/978-3-031-57996-7_55
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