Assessing the supply chain performance: A causal analysis

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dc.authorid0000-0002-9119-3252
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.authorBayraktar, Erkan
dc.contributor.authorSarı, Kazım
dc.contributor.authorTatoğlu, Ekrem
dc.contributor.authorZaim, Selim
dc.contributor.authorDelen, Dursun
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.contributor.otherYönetim Bilimleri Fakültesi, İşletme Bölümü
dc.date.accessioned2019-11-27T07:33:44Z
dc.date.available2019-11-27T07:33:44Z
dc.date.issued2019
dc.departmentİHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü
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.
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).
dc.identifier.doi10.1007/s10479-019-03457-y
dc.identifier.issn0254-5330
dc.identifier.issn1572-9338
dc.identifier.issue372
dc.identifier.scopus2-s2.0-85075133938
dc.identifier.scopusqualityQ1
dc.identifier.urihttps://dx.doi.org/10.1007/s10479-019-03457-y
dc.identifier.urihttps://hdl.handle.net/20.500.12154/978
dc.identifier.volume282
dc.identifier.wosWOS:000496117000001
dc.identifier.wosqualityQ1
dc.indekslendigikaynakScopus
dc.indekslendigikaynakWeb of Science
dc.institutionauthorTatoğlu, Ekrem
dc.institutionauthorid0000-0002-9119-3252
dc.language.isoen
dc.publisherSpringer US
dc.relation.ihupublicationcategory114
dc.relation.ispartofAnnals of Operations Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectSCM
dc.subjectRetailers’ Performance
dc.subjectBullwhip Effect
dc.subjectService Level
dc.subjectCausal Analysis
dc.titleAssessing the supply chain performance: A causal analysis
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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