2026-04-14T05:48:15Zhttps://recercat.cat/oai/request

oai:recercat.cat:2117/4488322026-01-30T02:48:42Zcom_2072_1033col_2072_452950

Optimizing retail staffing: multiskilling levels in personnel scheduling under uncertain demand Porto Solano, Andrés Felipe Lusa García, Amaia Porto Solano, Roberto Henao, César Augusto Universitat Politècnica de Catalunya. Departament d'Organització d'Empreses Universitat Politècnica de Catalunya. DOPS - Disseny i Optimització de Processos i Serveis Àrees temàtiques de la UPC::Economia i organització d'empreses::Direcció d'operacions::Estratègia operativa Àrees temàtiques de la UPC::Matemàtiques i estadística::Investigació operativa::Optimització Personnel scheduling problem Multiskilling Annualized hours Overtime Stochastic optimization The effectiveness of personnel planning significantly relies on organizations’ capacity to address issues of overstaffing and understaffing resulting from uncertain and seasonal demand. This underscores the importance of developing and evaluating new and enhanced labor flexibility strategies aimed at shaping a workforce capable of meeting unpredictable demand patterns. This study investigates a triple flexibility strategy that integrates multiskilled employees, annualized working hour schemes, and overtime, all while considering demand uncertainty. Conducted at a retail store in Chile, the research employs a two-stage stochastic optimization approach to determine the optimal staff size and training plan. Additionally, the study compares the optimal solution provided by the TSSO approach with alternative myopic approaches. The findings highlight that the TSSO approach offers the most cost-effective solution, achieving superior demand coverage while minimizing salary, over/understaffing, and training expenses. Peer Reviewed Postprint (author's final draft) 2025 Part of book or chapter of book Porto, A. [et al.]. Optimizing retail staffing: multiskilling levels in personnel scheduling under uncertain demand. A: «Organizational engineering, coping with complexity». Springer, 2025, p. 171-177. 9783031823343 https://hdl.handle.net/2117/448832 10.1007/978-3-031-82334-3_30 eng https://link.springer.com/chapter/10.1007/978-3-031-82334-3_30 Restricted access - publisher's policy 7 p. application/pdf Springer