Identifying the Components of Selecting Suppliers and Contractors in the Supply Chain Resilience of Iran's Oil and Gas Projects Under the Uncertainty Environment
Subject Areas : Industrial ManagementHamidReza Karimi 1 , Saber Khandan 2 , Neda Farahbakhsh 3
1 - PhD Candidate in Industrial Management, Production and Operations, Rudehen Branch, Islamic Azad UniversityBranch, Islamic Azad University, Iran
2 - Department of Management, Faculty of Accounting and Management, Roudehen Branch, Islamic Azad University, Roudhan, Iran
3 - Department of Management, Faculty of Accounting and Management, Roudhan Branch, Islamic Azad University, Roudhan, Iran
Keywords: Oil and Gas Projects, Resilience, Suppliers, Multi-Criteria Decision Making, Supply Chain, Fuzzy Logic,
Abstract :
The purpose of this paper is to identify the components of selecting suppliers in the resilient supply network of Iran's oil and gas projects with the fuzzy Delphi technique, weighting and prioritizing each one with the fuzzy best-worst technique and evaluating and ranking the options. (suppliers) regarding the level of resilience in the supply network of Iran's oil and gas projects with Mapak and Covaliflex techniques and summarizing the results with Borda technique. The aspect of innovation and novelty of the current research is the use of fuzzy logic, consideration of supplier resilience and its combination with multi-indicator decision-making techniques in introducing the local model of supplier selection in Iran's oil and gas industry. The population and the statistical sample of the present study are 23 senior managers in the field of logistics in Iran's oil and gas industries. The results of component screening with fuzzy Delphi showed that indigenous patterns were identified in six criteria and thirty-seven sub-criteria. The results of weighting the dimensions of selecting resilient suppliers with the fuzzy best-worst technique showed that the criterion of flexibility (resilience) is the most important criterion, and price and cost (economic criterion), the second rank, and agility. Supplier services, supplier characteristics and capacity, and quality and technology were ranked third to sixth respectively. Also, the sub-criteria of each criterion were weighted and ranked. Then, the contractors supplying precision instruments in Iran's oil and gas industry were evaluated with the proposed model and ranked with MAPPAK and Qualiflix techniques.
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