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Strategic Planning of Phytosanitary treatments in Wineries

hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorLE ROUX, Agnès
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorDETIENNE, Boris
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorSADYKOV, Ruslan
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorTAHIRI, Issam
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
dc.contributor.authorTOULLAT, Alexis
hal.structure.identifierReformulations based algorithms for Combinatorial Optimization [Realopt]
hal.structure.identifierInstitut de Mathématiques de Bordeaux [IMB]
dc.contributor.authorVANDERBECK, François
dc.date.accessioned2024-04-04T03:11:58Z
dc.date.available2024-04-04T03:11:58Z
dc.date.issued2016-02-10
dc.date.conference2016-02-10
dc.identifier.urihttps://oskar-bordeaux.fr/handle/20.500.12278/193821
dc.description.abstractEnWe consider planning phytosanitary treatments in a vineyard. We are given a set of diseases (or requests) that must be treated for each site. Product mixtures are defined by their composition of active components, and their duration of protective power for each request. Machines are available to spread the mixtures on the sites. The time horizon is divided in time periods. Sites are partitioned in sectors. The objective of the problem is to minimize the machine leasing costs, their travel cost to sectors and the costs related to the product use. To solve this problem, we use a column generation approach where the machine policy and the product order policy are pure master decisions, while treatment planning decisions are made in individual pricing subproblems associated with each site. We developed a dedicated dynamic program to solve the pricing subproblems.
dc.language.isoen
dc.subject.enMots-clés : Column generation
dc.subject.enextended formulation
dc.subject.enDynamic programming
dc.subject.enphytosani- tary treatments
dc.title.enStrategic Planning of Phytosanitary treatments in Wineries
dc.typeCommunication dans un congrès
dc.subject.halMathématiques [math]/Combinatoire [math.CO]
dc.subject.halInformatique [cs]/Recherche opérationnelle [cs.RO]
bordeaux.hal.laboratoriesInstitut de Mathématiques de Bordeaux (IMB) - UMR 5251*
bordeaux.institutionUniversité de Bordeaux
bordeaux.institutionBordeaux INP
bordeaux.institutionCNRS
bordeaux.conference.titleROADEF
bordeaux.countryFR
bordeaux.conference.cityCompiègne
bordeaux.peerReviewedoui
hal.identifierhal-01425704
hal.version1
hal.invitednon
hal.proceedingsoui
hal.conference.end2016-02-12
hal.popularnon
hal.audienceInternationale
hal.origin.linkhttps://hal.archives-ouvertes.fr//hal-01425704v1
bordeaux.COinSctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.date=2016-02-10&rft.au=LE%20ROUX,%20Agn%C3%A8s&DETIENNE,%20Boris&SADYKOV,%20Ruslan&TAHIRI,%20Issam&TOULLAT,%20Alexis&rft.genre=unknown


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