A Fuzzy Goal-Programming Model for Optimization of Sustainable Supply Chain by Focusing on the Environmental and Economic Costs and Revenue: A Case Study

الموضوعات :

Mohammad Reza Zamanian ¹ ( Department of Management, College of Human Science, Saveh Branch, Islamic Azad University, Saveh, Iran )
Ehsan Sadeh ² ( Department of Management, College of Human Science, Saveh Branch, Islamic Azad University, Saveh, Iran )
Zeinolabedin Amini Sabegh ³ ( Department of Management, College of Human Science, Saveh Branch, Islamic Azad University, Saveh, Iran )
Reza Ehtesham Rasi ⁴ ( Department of Industrial Management, Qazvin Branch, Islamic Azad University, Qazvin, Iran )

تاريخ الإرسال : 04 الإثنين , ربيع الأول, 1440 تاريخ التأكيد : 17 الأربعاء , جمادى الأولى, 1440 تاريخ الإصدار : 24 الجمعة , جمادى الثانية, 1440

الکلمات المفتاحية: Revenue, Fuzzy Goal Programming, Natural gas supply chain, Environmental cost, Economic cost,

ملخص المقالة :

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 compo-nents of gas and oil wells, refineries, storage tanks, dispatching, transmission and distribution network, a seven-level supply chain has been introduced and present-ed schematically. The aim of this paper is to optimize a case study using a fuzzy goal-programming multi-period model considering environmental and economic costs and revenue 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 program-ming model for the optimization of sustainable natural gas supply chain by focus-ing on the environmental and economic costs and total revenue of gas products and the other main contribution of this research is focused to the developing of the mentioned model.

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