Assessing the supply chain performance: a causal analysis

dc.contributor.authorBayraktar, Erkan
dc.contributor.authorSari, Kazim
dc.contributor.authorTatoglu, Ekrem
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.date.accessioned2024-03-13T10:30:45Z
dc.date.available2024-03-13T10:30:45Z
dc.date.issued2020
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description.abstractMeasuring the performance-related factors of a unit within a supply-chain is a challenging problem, mainly because of the complex interactions among the members governed by the supply chain strategy employed. Synergistic use of discrete-event simulation and structural equation modeling allows researchers and practitioners to analyze causal relationships between order-fulfillment characteristics of a supply-chain and retailers' performance metrics. In this study, we model, simulate, and analyze a two-level supply-chain with seasonal linear demand, and using the information therein, develop a causal model to measure the links/relationships among the order-fulfillment factors and the retailer's performance. According to the findings, of all the order-fulfillment characteristics of a supply-chain, the forecast inaccuracy was found to be the most important in mitigating the bullwhip effect. Concerning the total inventory cost and fill-rate as performance indicators of retailers, the desired service level had the highest priority, followed by the lead-time and forecast inaccuracy, respectively. To reduce the total inventory cost, the bullwhip effect seems to have the lowest priority for the retailers, as it does not appear to have a significant impact on the fill rate. Although seasonality (to some extent) influences the retailer's performance, it does not seem to have a significant impact on the ranking of the factors affecting retailers' supply-chain performance; except for the case where the backorder cost is overestimated.en_US
dc.identifier.doi10.1007/s10479-019-03457-y
dc.identifier.endpage60en_US
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-85075133938en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage37en_US
dc.identifier.urihttps://doi.org/10.1007/s10479-019-03457-y
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3524
dc.identifier.volume287en_US
dc.identifier.wosWOS:000496117000001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringeren_US
dc.relation.ispartofAnnals Of Operations Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectSCMen_US
dc.subjectRetailers' performanceen_US
dc.subjectService levelen_US
dc.subjectBullwhip effecten_US
dc.subjectCausal analysisen_US
dc.titleAssessing the supply chain performance: a causal analysisen_US
dc.typeArticleen_US

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