This paper studies two important problems, often encountered in the manufacturing industry and particularly in the tanneries: human resources planning and production scheduling. In this work, we focus on the problem that integrates Employee Timetabling [ETP] by considering their skills under various constraints, with a Hybrid Job-Shop Scheduling [HJS] under time lag constraints. After presenting and formulating our problem as a Mixed Linear Program, we propose a resolution method based on decomposition and cut generation by combining Mixed Linear Programming and Constraint Programming. Using numerical experimentations, we show the advantage of decomposition and cut generation, in terms of resolution time.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.