Providing A Method To Assess the Assaluyeh Petrochemical Plants Green Supply Chain Performance By Using a Combination of Fuzzy Method and Nonlinear Modeling

The move to green supply chains provides an opportunity for simultaneous attention to environmental issues and sustainability of business functions. Companies have to review the design of their products and production technology to ensure that they produce products that take into account environmental factors both during their production and use. This approach forces firms to minimize the environmental costs of their operations that do not impact their money metric cost of production. In this study we use a combination of fuzzy method and non-linear modeling approach to assess the green supply chain performance of Assaluyeh petrochemical plants. For this purpose, we first develop a green supply chain evaluation model, based on a thorough review of the existing research in this area. We then distributed paired comparison questionnaires associated with definition of the weight of criteria and sub-criteria to 15 specialists. We used a non-liner modeling to estimate the weights of criteria and sub-criteria. These weights were then used to assess the optimal performance of Assaluyeh petrochemical plants through a fuzzy technique. We used this benchmark to assess the actual performance of Assaluyeh petrochemical plants. The results indicated a suboptimal performance of Assaluyeh petrochemical plants in term of green supply chain performance criteria.