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Publication :
Configuration and evaluation of an integrated demand management process using a space-filling design and Kriging metamodeling

ali.license-refhttps://creativecommons.org/licenses/by/4.0fr
ali.license-ref.start-date2018-01-09fr
bul.description.provenanceembre chlacfr
bul.rights.dateAccepPubl2018-01-09fr
bul.rights.periodeEmbargoP0Mfr
bul.rights.typeDatedatePublicationfr
dc.contributor.authorGaudreault, Jonathan
dc.contributor.authorCarle, Marc-André
dc.contributor.authorBen Ali, Maha
dc.contributor.authorD'Amours, Sophie
dc.date.accessioned2022-01-17T15:25:52Z
dc.date.available2022-01-17T15:25:52Z
dc.date.issued2018-01-09
dc.description.abstractObjective This research aims to develop a basic understanding of a demand management process integrating sales and operations planning (S&OP) and order promising in a Make-To-Stock environment and to compare different demand management policies with limited capacity. Contribution Typical researches about demand management processes analyze few system specifications or vary few potential factors one at a time. Yet, additional insights can be obtained by employing a space-filling design and Kriging metamodeling for analysis. Methodology We compare two configurations of the integrated demand management process. While the First-Come First-Served concept is used at the order promising level for the first configuration, the second configuration uses nested booking limits and gives advantage to profitable customers and attractive periods. Considering various order arrival sequences, we generate Kriging metamodels that best describe the nonlinear relationships between four environmental factors (demand intensity, demand forecast error, customer heterogeneity and coefficient of variation) and three performance measures (yearly profit margin, yearly sales and high-priority fill rate) for Canadian softwood lumber firms. Since our simulation experiments are time-consuming, we employ a Latin hypercube design to efficiently take into account different market situations. Results Our analysis reveals the potential to improve the performance of the demand management process if we know high-priority customers needs before fulfilling low-priority orders and if we use nested booking limits concept.fr
dc.identifier.doi10.1016/j.orp.2018.01.002fr
dc.identifier.issn2214-7160fr
dc.identifier.urihttp://hdl.handle.net/20.500.11794/71628
dc.languageengfr
dc.publisherElsevierfr
dc.rightshttp://purl.org/coar/access_right/c_abf2
dc.subjectIntegrated demand management processfr
dc.subjectSales and operations planningfr
dc.subjectRevenue managementfr
dc.subjectSpace-filling designfr
dc.subjectKrigingfr
dc.subjectSoftwood lumber industryfr
dc.subject.rvmBois d'œuvre -- Industrie -- Gestion de la demandefr
dc.subject.rvmGestion des stocks -- Modèles mathématiquesfr
dc.subject.rvmKrigeagefr
dc.subject.rvmRentabilité -- Gestionfr
dc.subject.rvmEntrepôts -- Gestionfr
dc.titleConfiguration and evaluation of an integrated demand management process using a space-filling design and Kriging metamodelingfr
dc.typearticle de recherche
dc.type.legacyCOAR1_1::Texte::Périodique::Revue::Contribution à un journal::Article::Article de recherchefr
dcterms.bibliographicCitationOperations research perspectives, Vol. 5, 45-58 (2018)fr
dspace.accessstatus.time2024-03-23 18:05:23
dspace.entity.typePublication
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rioxxterms.project.funder-nameNatural Sciences and Engineering Research Council of Canadafr
rioxxterms.versionVersion of Record (VoR)fr
rioxxterms.version-of-recordhttps://doi.org/10.1016/j.orp.2018.01.002fr

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