Identifying LARG Supply Chain Performance Measures in Oil and Gas Industries and How They Relate to LARG Practices: A Fuzzy mathematical approach

Document Type : Research Paper


1 Ph.D. Candidate, Department of Production and Operations Management, Science and Research Branch, Islamic Azad University,Tehran, Iran.

2 Prof., Department of Industrial Management, Tabriz Branch, Islamic Azad University, Tabriz, Iran.

3 Prof., Department of Industrial Management, South Tehran Branch, Islamic Azad University, Tehran, Iran.


The purpose of this article is to identify the measures of LARG supply chain performance in the oil and gas industry and how they relate to LARG practices. By reviewing the literature and interviewing industry experts LARG supply chain performance evaluation metrics are identified and prioritized using fuzzy Delphi. The importance of each of the performance measures is determined by the method of Importance -Performance Analysis (IPA). The spider diagram shows the gap between the current state and the ideal state of the supply chain. Finally, in Vensim a dynamic supply chain model is simulated and tested. Based on the outputs of this study, among the performance metrics, revenue metering is the most important for experts and after revenue metering, customer satisfaction metering is very important. The results show that measures of quality, cost, revenue, flexibility, integrity, customer satisfaction, inventory level and social responsibility are necessary for experts to evaluate supply chain performance and should be considered in the supply chain performance evaluation model. The results of this research can be used in the LARG supply chain of oil and gas industries.


Articles in Press, Accepted Manuscript
Available Online from 05 March 2022
  • Receive Date: 28 January 2022
  • Revise Date: 19 February 2022
  • Accept Date: 05 March 2022