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A real life batch-sizing and sequencing problem with capacitated buffer and setup times

dc.contributor.authorLa Palombara, Nicola
hal.structure.identifierGénie des Réseaux de Transport Terrestres et Informatique Avancée [COSYS-GRETTIA ]
dc.contributor.authorBehiri, Walid
HAL ID: 18460
ORCID: 0000-0001-9285-6727
hal.structure.identifierCentre de Recherche en Automatique de Nancy [CRAN]
hal.structure.identifierGénie des Réseaux de Transport Terrestres et Informatique Avancée [COSYS-GRETTIA ]
dc.contributor.authorBelmokhtar Berraf, Sana
dc.contributor.authorChu, Chenbin
hal.structure.identifierDauphine Recherches en Management [DRM]
dc.contributor.authorSali, Mustapha
dc.date.accessioned2023-09-18T10:02:02Z
dc.date.available2023-09-18T10:02:02Z
dc.date.issued2023
dc.identifier.urihttps://basepub.dauphine.psl.eu/handle/123456789/24915
dc.language.isoenen
dc.subjectSingle machineen
dc.subjectBatch-sizingen
dc.subjectSchedulingen
dc.subjectSetup timesen
dc.subjectCapacitated bufferen
dc.subject.ddc658.5en
dc.titleA real life batch-sizing and sequencing problem with capacitated buffer and setup timesen
dc.typeCommunication / Conférence
dc.description.abstractenThis study deals with a real-life batch sizing and sequencing problem where sequence-dependent setup times are necessary when changing the production from one type of product to another. Given an internal demand to be fulfilled at each period t from buffers, one has to organize the production to replenish the buffers so as to keep the inventory levels between predefined bounds at any time, while respecting a minimum batch size. To simultaneously define which type of product and for how long time to produce, we propose an Integer Linear Programming (ILP) formulation which determines the optimal sequence of machine states over the planning horizon. We distinguish three possible states: production, setup or changeovers and idle states. The first experiments are carried out on small-size instances, using Cplex solver. As future work, we will extend the model to better represent the real case and then we aim to develope approximate resolution methods to solve larger instances based on real data.en
dc.subject.ddclabelGestion de productionen
dc.relation.conftitleCongrès de la ROADEFen
dc.relation.confdate2023
dc.relation.confcityRennesen
dc.relation.confcountryFranceen
dc.relation.forthcomingnonen
dc.description.ssrncandidatenon
dc.description.halcandidateouien
dc.description.readershipnon-rechercheen
dc.description.audienceInternationalen
dc.relation.Isversionofjnlpeerreviewednonen
dc.date.updated2023-07-12T14:52:40Z
hal.identifierhal-04209847
hal.version1
hal.date.transferred2023-09-18T10:02:03Z
hal.author.functionaut
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