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hal.structure.identifierAsys [Paris]
dc.contributor.authorGÉRARD, Matthieu
hal.structure.identifierUniversité de Bordeaux [UB]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorCLAUTIAUX, François
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorSADYKOV, Ruslan
dc.date.accessioned2024-04-04T03:17:15Z
dc.date.available2024-04-04T03:17:15Z
dc.date.created2015
dc.date.issued2016
dc.identifier.issn0377-2217
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/194290
dc.description.abstractEnIn this paper, we address a multi-activity tour scheduling problem with time varying demand. The objective is to compute a team schedule for a fixed roster of employees in order to minimize the over-coverage and the under- coverage of different parallel activity demands along a planning horizon of one week. Numerous complicating constraints are present in our problem: all employees are different and can perform several different activities during the same day-shift, lunch breaks and pauses are flexible, demand is given for 15 minutes periods. Employees have feasibility and legality rules to be satisfied, but the objective function does not account for any quality measure associated with each individual’s schedule. More precisely, the problem mixes simultaneously days-off scheduling, shift scheduling, shift assignment, activity assignment, pause and lunch break assignment.To solve this problem, we developed four methods: a compact Mixed Integer Linear Programming model, a branch-and-price like approach with a nested dynamic program to solve heuristically the subproblems, a diving heuristic and a greedy heuristic based on our subproblem solver. The computational results, based on both real cases and instances derived from real cases, demonstrate that our methods are able to provide good quality solutions in a short computing time. Our algorithms are now embedded in a commercial software, which is already in use in a mini-mart company.
dc.language.isoen
dc.publisherElsevier
dc.title.enColumn generation based approaches for a tour scheduling problem with multi-skill heterogeneous workforce
dc.typeArticle de revue
dc.identifier.doi10.1016/j.ejor.2016.01.036
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
bordeaux.journalEuropean Journal of Operational Research
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.peerReviewedoui
hal.identifierhal-01214652
hal.version1
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01214652v1
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