Impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem

Minh Phuoc Doan, Julien Fondrevelle (), Valérie Botta-Genoulaz () and Jose Francisco Ferreira Ribeiro
Additional contact information
Minh Phuoc Doan: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Julien Fondrevelle: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Valérie Botta-Genoulaz: DISP - Décision et Information pour les Systèmes de Production - UL2 - Université Lumière - Lyon 2 - UCBL - Université Claude Bernard Lyon 1 - Université de Lyon - INSA Lyon - Institut National des Sciences Appliquées de Lyon - Université de Lyon - INSA - Institut National des Sciences Appliquées
Jose Francisco Ferreira Ribeiro: USP - Universidade de São Paulo = University of São Paulo

Post-Print from HAL

Abstract: This article studies the impact of flexible work contracts and multi-skilled agents on a multi-objective workforce planning problem. Each agent has a work contract with a weekly and daily work capacity. The company has to create a planning for its agents to fulfil the customers' demands. When assigning agents to specific demands, three different objectives have to be attained, including minimising the travel costs between agents' home and their workplace, and maximising agents' satisfaction related to the workload balance between them, and to their preferences for certain working periods. In the context of the evolution of the demands over time, the company has to introduce different levers to increase the level of workforce flexibility. Flexible work contracts and multiple skills are the two levers that are focused on here. The mixed integer linear programming method is used to model and solve the problem. Numerical experiments with real data provided by a Brazilian company show the positive impact of these two levers on the feasibility of problem solving and on the quality of the solutions obtained. Different managerial recommendations based on these results are proposed to companies to help improve their strategy for workforce development.

Keywords: Workforce assignment; multi-objective optimisation; mixed integer linear programming; preference satisfaction; workload balance; cost minimisation (search for similar items in EconPapers)
Date: 2022
Note: View the original document on HAL open archive server: https://hal.science/hal-03119408v1
References: View references in EconPapers View complete reference list from CitEc
Citations:

Published in International Journal of Production Research, 2022, 60 (5), pp.1650-1665. ⟨10.1080/00207543.2020.1867922⟩

Downloads: (external link)
https://hal.science/hal-03119408v1/document (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-03119408

DOI: 10.1080/00207543.2020.1867922

Access Statistics for this paper

More papers in Post-Print from HAL
Bibliographic data for series maintained by CCSD ().