Assessing the supply chain performance: A causal analysis

dc.authorid0000-0002-9119-3252en_US
dc.contributor.authorBayraktar, Erkan
dc.contributor.authorSarı, Kazım
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2019-11-27T07:33:44Z
dc.date.available2019-11-27T07:33:44Z
dc.date.issued2019en_US
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümüen_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.citationBayraktar, E., Sarı, K., Tatoğlı, E., Zaim, S., ve Delen, D. (2019). Assessing the supply chain performance: A causal analysis. Annals of Operations Research, 282 (372).en_US
dc.identifier.doi10.1007/s10479-019-03457-yen_US
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.issue372en_US
dc.identifier.scopus2-s2.0-85075133938en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10479-019-03457-y
dc.identifier.urihttps://hdl.handle.net/20.500.12154/978
dc.identifier.volume282en_US
dc.identifier.wosWOS:000496117000001en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.institutionauthorTatoğlu, Ekrem
dc.institutionauthorid0000-0002-9119-3252en_US
dc.language.isoen
dc.publisherSpringer USen_US
dc.relation.ihupublicationcategory114en_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.subjectBullwhip Effecten_US
dc.subjectService Levelen_US
dc.subjectCausal Analysisen_US
dc.titleAssessing the supply chain performance: A causal analysisen_US
dc.typeArticle
dspace.entity.typePublication
relation.isAuthorOfPublication29f46236-65bf-4da8-b2be-b9826daecb5e
relation.isAuthorOfPublicatione854a5d5-11a9-4148-a1aa-863a4c13eeb5
relation.isAuthorOfPublicationde384c43-bcde-4ccb-a0b7-39ead0e59bd0
relation.isAuthorOfPublication.latestForDiscovery29f46236-65bf-4da8-b2be-b9826daecb5e
relation.isOrgUnitOfPublicationc9253b76-6094-4836-ac99-2fcd5392d68f
relation.isOrgUnitOfPublication.latestForDiscoveryc9253b76-6094-4836-ac99-2fcd5392d68f

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