Tatoğlu, EkremZaim, SelimDelen, DursunTatoğlu, EkremZaim, SelimDelen, DursunBayraktar, ErkanSarı, KazımTatoğlu, EkremZaim, SelimDelen, DursunYönetim Bilimleri Fakültesi, İşletme BölümüYönetim Bilimleri Fakültesi, İşletme Bölümü2019-11-272019-11-272019Bayraktar, 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).0254-53301572-9338https://dx.doi.org/10.1007/s10479-019-03457-yhttps://hdl.handle.net/20.500.12154/978Measuring 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.eninfo:eu-repo/semantics/openAccessSCMRetailers’ PerformanceBullwhip EffectService LevelCausal AnalysisAssessing the supply chain performance: A causal analysisArticle28237210.1007/s10479-019-03457-yQ1WOS:0004961170000012-s2.0-85075133938Q1