Assessing the supply chain performance: A causal analysis
dc.authorid | 0000-0002-9119-3252 | en_US |
dc.contributor.author | Bayraktar, Erkan | |
dc.contributor.author | Sarı, Kazım | |
dc.contributor.author | Tatoğlu, Ekrem | |
dc.contributor.author | Zaim, Selim | |
dc.contributor.author | Delen, Dursun | |
dc.contributor.author | Tatoğlu, Ekrem | |
dc.contributor.author | Zaim, Selim | |
dc.contributor.author | Delen, Dursun | |
dc.contributor.other | Yönetim Bilimleri Fakültesi, İşletme Bölümü | |
dc.date.accessioned | 2019-11-27T07:33:44Z | |
dc.date.available | 2019-11-27T07:33:44Z | |
dc.date.issued | 2019 | en_US |
dc.department | İHÜ, Yönetim Bilimleri Fakültesi, İşletme Bölümü | en_US |
dc.description.abstract | Measuring 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.citation | Bayraktar, 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.doi | 10.1007/s10479-019-03457-y | en_US |
dc.identifier.issn | 0254-5330 | |
dc.identifier.issn | 1572-9338 | |
dc.identifier.issue | 372 | en_US |
dc.identifier.scopus | 2-s2.0-85075133938 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://dx.doi.org/10.1007/s10479-019-03457-y | |
dc.identifier.uri | https://hdl.handle.net/20.500.12154/978 | |
dc.identifier.volume | 282 | en_US |
dc.identifier.wos | WOS:000496117000001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.institutionauthor | Tatoğlu, Ekrem | |
dc.institutionauthorid | 0000-0002-9119-3252 | en_US |
dc.language.iso | en | |
dc.publisher | Springer US | en_US |
dc.relation.ihupublicationcategory | 114 | en_US |
dc.relation.ispartof | Annals of Operations Research | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/openAccess | en_US |
dc.subject | SCM | en_US |
dc.subject | Retailers’ Performance | en_US |
dc.subject | Bullwhip Effect | en_US |
dc.subject | Service Level | en_US |
dc.subject | Causal Analysis | en_US |
dc.title | Assessing the supply chain performance: A causal analysis | en_US |
dc.type | Article | |
dspace.entity.type | Publication | |
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