Investigating and analyzing the interactions between factors affecting supply chain agility improvement by interpretive structural modeling in oil and gas industry

This study aims to identify the most important factors affecting the improvement of supply chain agility and determine the leveling of interactions between the factors affecting to improvement of supply chain agility and mapping network relations in the oil and gas industry from experts’ point of view. Reviewing the research literature, the opinion of 30 experts regarding the supply chain of South Pars oil and gas companies were asked and determined. Using Fuzzy Delphi technique, 7 indicators out of 14 were identified and selected. Then, a structured matrix questionnaire was used for interpreting structural modeling to obtain the model and prioritize the indicators. The data from the questionnaire was drawn through an interpretive structural modeling and analyzed in 5 levels in an interactive grid. Consequently, information sharing and using the innovation were reanked at the highest level (the fifth level) while supplier participation, and strategic resources were ranked at the fourth level. Communication with customers ranked at the third level and reliability and assurance of delivery found the next rank which is the second level. The flexibility of production was ranked the first and the lowst among the others.