Assessing the supply chain performance: a causal analysis
dc.contributor.author | Bayraktar, Erkan | |
dc.contributor.author | Sari, Kazim | |
dc.contributor.author | Tatoglu, Ekrem | |
dc.contributor.author | Zaim, Selim | |
dc.contributor.author | Delen, Dursun | |
dc.date.accessioned | 2024-03-13T10:30:45Z | |
dc.date.available | 2024-03-13T10:30:45Z | |
dc.date.issued | 2020 | |
dc.department | İstanbul Beykent Üniversitesi | 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.doi | 10.1007/s10479-019-03457-y | |
dc.identifier.endpage | 60 | en_US |
dc.identifier.issn | 0254-5330 | |
dc.identifier.issn | 1572-9338 | |
dc.identifier.issue | 1 | en_US |
dc.identifier.scopus | 2-s2.0-85075133938 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.startpage | 37 | en_US |
dc.identifier.uri | https://doi.org/10.1007/s10479-019-03457-y | |
dc.identifier.uri | https://hdl.handle.net/20.500.12662/3524 | |
dc.identifier.volume | 287 | en_US |
dc.identifier.wos | WOS:000496117000001 | en_US |
dc.identifier.wosquality | Q2 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer | 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 | Service level | en_US |
dc.subject | Bullwhip effect | en_US |
dc.subject | Causal analysis | en_US |
dc.title | Assessing the supply chain performance: a causal analysis | en_US |
dc.type | Article | en_US |