كليدواژه :
supply chain , Supply chain performance , Reduce logistics costs , Petrochemical industry , IPA method
چكيده لاتين :
Objective: With increasing and diversifying customer demand, advances in recent information systems
technology, global competition, and increasing public awareness, industries need to focus more on
supply chain management. Due to the high value of petrochemical products, supply chain management
is of great importance in the petrochemical industry. In general, supply chain performance evaluation
is an essential element in effective planning, control, and decision-making. In this regard, the aim of
this study is to rank the factors influencing the performance of the supply chain and reduce its costs in
the 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. Data
collection method, questionnaire and in the first half of 2021 has been done. Results: In this study, two
questions were answered; What are the factors influencing the performance of the supply chain in the
petrochemical 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-performance
matrix 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 is
affected by factors such as quality and variety of products and services, flexibility in meeting customer
needs, bill delivery speed and program schedule effectiveness and order cycle time. Using these
results, through the matrix analysis of performance-importance matrix using Excel software, these
factors were ranked in order to improve the supply chain and increase competitiveness. Findings show
that 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 help
continuous monitoring, increase production, create and maintain competitive position in industries.