Ranking of factors affecting the performance of supply chain performance and reducing logistics costs in the petrochemical industry by using the IPA method

Objective: With increasing and diversifying customer demand, advances in recent information systemstechnology, global competition, and increasing public awareness, industries need to focus more onsupply chain management. Due to the high value of petrochemical products, supply chain managementis of great importance in the petrochemical industry. In general, supply chain performance evaluationis an essential element in effective planning, control, and decision-making. In this regard, the aim ofthis study is to rank the factors influencing the performance of the supply chain and reduce its costs inthe petrochemical industry. Method: The approach used is Importance performance analysis matrix(IPA). The statistical population of the study consists of experts in the petrochemical industry. Datacollection method, questionnaire and in the first half of ۲۰۲۱ has been done. Results: In this study, twoquestions were answered; What are the factors influencing the performance of the supply chain in thepetrochemical industry? And according to the above factors, which factor is the first priority? Finally,the factors influencing the performance of supply chain performance in the importance-performancematrix have been established and suggestions have been made to improve the company's situation.Conclusion: Based on the results, the performance of the petrochemical industry supply chain isaffected by factors such as quality and variety of products and services, flexibility in meeting customerneeds, bill delivery speed and program schedule effectiveness and order cycle time. Using theseresults, through the matrix analysis of performance-importance matrix using Excel software, thesefactors were ranked in order to improve the supply chain and increase competitiveness. Findings showthat in terms of importance, the factors affecting the performance of the supply chain are process,flexibility, supplier, satisfaction and time, respectively. The results of this research can helpcontinuous monitoring, increase production, create and maintain competitive position in industries.