Evaluation Maturity Large Supply Chain at Saipa Yadak Company using Fuzzy Inference System (FIS)

Creating a competitive Supply Chain (SC) LARG (Lean, Agile, Resilient and Green) is one of the main challenges in many industries to this end the integration approach of the above paradigms can balance the conflicts between them and achieve the highest competitiveness. The aim of this study is to provide a model for assessing the maturity of the Large SC using Fuzzy Inference System (FIS). The sampling method is judgmental and finally the number of experts in the sample to confirm the rules is 7 people. In the present study, a fuzzy expert system has been designed to calculate the maturity level of LARG SC in organizations. The main dimensions of the system are pure SC, agile, radiant and green. The designed system has been tested and validated, and results show validity and reliability of its performance. Also this system has been used to calculate the maturity level of LARG SC in Saipa Yadak Company.