A Fuzzy Goal-Programming Model for Optimization of Resilience and Sustainable Natural Gas Supply Chain: A Case Study

Resilience and sustainable supply chain has become an integral part of the corporate strategy. In this paper, a real case study of the natural gas supply chain has been investigated. Using concepts related to natural gas industry and the relations among the components of gas and oil wells, refineries, storage tanks, dispatching, transmission and distribution network, a seven-level supply chain has been introduced and presented schematically. The aim of this paper is to optimize a case study using a fuzzy goal programming multi-period and multi-product model considering recovery, environmental and economic costs, total revenue and service level as fuzzy goals and maximize the total degree of satisfaction of goals as objective function. A small-sized problem was solved using GAMS 23.2.1 software and sensitivity analysis was conducted on its parameters. To the best of our knowledge, this is the first study that presents a fuzzy goal-programming model for the optimization of resilience and sustainable natural gas supply chain by trade-offs among recovery, environmental and economic costs, total revenue and service level approach in order to help decision makers make an optimal decision.