خلاصة:
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 sup-ply 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.
ملخص الجهاز:
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.
Therefore, presenting a fuzzy goal-programming model for 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 their all levels, would be very useful for gas industries management in order to help decision makers make an optimal decision.
1 Mathematical Model This natural gas supply chain is formulated in terms of the dimensions of resilience such as the service level and penalty per underutilized capacity, or recovery costs and sustainability such as the environmental and economic costs and total revenue.
This study presents a fuzzy goal-programming model for optimization of resilience and sustainable natural gas supply chain in the Iranian gas industry, including maximizing the service level and total revenue and minimizing the recovery, environmental and economic costs in the consumption nodes at all levels and components of the natural gas supply chain in a one-year time horizon, in order to assess trade-offs among them and advice decision makers for the natural gas supply chain management.
(2019) ‘A Fuzzy Goal-Programming Model for Optimization of Sustainable Supply Chain by Focusing on the Environmental and Economic Costs and Revenue: A Case Study’, Advances in Mathematical Finance & Applications, 4(1), P.