Value Chain Analysis of Petrochemical Products and Providing an Optimized Pattern of Petrochemical Production: Application of Fuzzy Multi-Object Linear Planning for Producing Petrochemical Products

This paper focuses on the analysis of the petrochemical products manufacturing value chain and the presentation of petrochemical products' optimal manufacturing pattern in petrochemical industries affiliates of pension funds. The case study in this research is JAM and MASJIDSOLEYMAN Petrochemical companies. Period of this research is 5 years. In this case study, the determiner faces paradoxical objectives simultaneously. The fuzzy multi-objective linear programming (FMOLP) method has been used based on the α-cut of fuzzy parameters in this research. The goal of this research is to extract the amount of products that have maximized profit and value-added and minimized risk simultaneously which face technological, market, financial, budget, legal, and national interest-related limitations. This method is often interested in the proper POSs that have finite tradeoffs between objective functions. One numerical sample has been used to show the possibility of using the said method in multi-objective optimizing issues for the production of propylene. Because of the efficiency and satisfaction of the obtained new solutions for this method, this method undoubtedly can be useful to solve the FMOLP problems. A decrease in the production of ethylene and light polyethylene and an increase in propylene and butadiene production is the most important policy recommendation of this research.