Supply Chain Operations Reference (SCOR) model is developed and maintained by the Supply Chain Council (SCC). The model is a reference model which can be utilized to map benchmark and improve the supply chain operations. SCOR model provides companies with a basic process modeling tool, an extensive benchmark database by defining a set of supply chain metrics. This paper explains the process and results obtained by applying SCOR model to analyze the supply chain of Iranol Oil Company (IOC). Making numerous interviews with the managers and considering the documents regarding the supply chain processes and comparing the current situation of the supply chain with SCOR best practices, some improvement projects were proposed to improve the supply chain performance.The projects were prioritized using TOPSIS, a well-known multi attribute decision making technique.

Objective: This research pursues two main objectives: 1) designing an integrated system for evaluating sustainable performance with an emphasis on the main executive processes of the cement supply chain, and 2) identifying the position and role of the criteria of this system in interaction with each other. Methods: Achieving these goals in Sepahan Cement Company (SCC) is pursued in two phases. First, the supply chain operations reference (SCOR) model is used to design an integrated framework for evaluating the sustainable performance of the cement supply chain (CSC). Second, interpretive-structural modeling (ISM) and MICMAC analysis are used to analyze the position and role of sustainable performance criteria in CSC main processes. Results: In total, 16 environmental criteria, 10 economic criteria, and 4 social criteria were identified. The contribution of the executive processes of sourcing, manufacturing, delivery, and return of the cement supply chain from these criteria were 11, 15, 7, and 6 criteria, respectively. In each process, key and effective criteria that played a fundamental role in promoting process sustainability were identified. Conclusion: Not all SCC processes play the same role in improving various aspects of sustainability (society, environment, economy). Identifying the key and effective metrics of each process provides managers and policymakers with an appropriate perspective on the preparation of sustainability improvement projects. Despite the presence of economic criteria in all four executive processes of the cement supply chain, the effectiveness of these criteria is not the same in all processes. Therefore, the preferences of decisionmakers can be different regarding the prioritization of projects to improve the sustainability of SCC.

In this study, the supply chain performance of rice farm machinery at retail level in Guilan and Mazandaran provinces was evaluated using SCOR model. Rice machine dealers were evaluated in five sections using 93 items. Based on the results of single sample T-test, the variables of efficiency, coordination and integration were significantly higher than the mean value. The clustering process of sales agents was based on the average items. Clustering results showed that the performance of sales representatives two main levels: desirable and undesirable. In order to improve the supply chain management situation, the performance of nearly half of the stores should be corrected. In this study DEA was proposed as a method for evaluating the efficiency of the SCOR model, which is one of the innovations of this research. The results of the DEA confirmed the cluster analysis results and the efficiency of about half of the units was calculated equal to one. Based on the results of the study, in order to improve the performance of rice agricultural machinery stores, it’ s better to focus on measures that improve quality of service delivery and increase customer reliability.