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dc.contributor.authorBenhamou, Latifa
hal.structure.identifier
dc.contributor.authorFontane, Frédéric
hal.structure.identifierLaboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
dc.contributor.authorGiard, Vincent
hal.structure.identifier
dc.contributor.authorGrabot, Bernard
dc.date.accessioned2019-06-17T16:39:51Z
dc.date.available2019-06-17T16:39:51Z
dc.date.issued2018
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/18998
dc.language.isoenen
dc.subjectReverse Blendingen
dc.subjectdelayed differentiationen
dc.subjectmass customizationen
dc.subjectfertilizeren
dc.subjectquadratic programming.en
dc.subject.ddc005en
dc.titleReverse Blending: an efficient answer to the challenge of obtaining required fertilizer varietyen
dc.typeDocument de travail / Working paper
dc.description.abstractenMass customization, a major trend in modern economy, relies on components assembly in discrete production, while in continuous production, it consists in a sequence of batches of different products. This limits achievable diversity and multiplies transportation issues. This situation is addressed by the fertilizer industry which, to enable sustainableagriculture, must deliver fertilizers tailored to soil and crops characteristics. We are now proposing a new approach to handle this situation, with a solution called reverse blending, which involves delayed differentiation performed near end-users. This consists in defining the components for a very limited number of inputs whose blend exactly matches the characteristic of the required fertilizers. In this solution, the problem is modelled by a quadratic program used to define input optimal composition, respect fertilizer components constraints and cater to any type of demand. Reverse blending may have a major impact on supply chain organization. A short case study of this new approach is provided.en
dc.publisher.nameCahier du LAMSADEen
dc.publisher.cityParisen
dc.identifier.citationpages11en
dc.relation.ispartofseriestitleCahier du LAMSADEen
dc.relation.ispartofseriesnumber385en
dc.contributor.countryeditoruniversityotherMOROCCO
dc.contributor.countryeditoruniversityotherFRANCE
dc.subject.ddclabelProgrammation, logiciels, organisation des donnéesen
dc.identifier.citationdate2018
dc.description.ssrncandidatenonen
dc.description.halcandidateouien
dc.description.readershiprechercheen
dc.description.audienceInternationalen
dc.date.updated2019-06-17T16:20:37Z
hal.identifierhal-02158152*
hal.version1*
hal.update.actionupdateFiles*
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