Multi-Objective Optimization Model for the Sustainable Natural Gas Supply Chain

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ZAMANIAN MOHAMMAD REZA

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Journal Paper

Paper Information

Journal: JOURNAL OF SCIENCE AND ENGINEERING ELITES Year:2020 | Volume:5 | Issue:4 Page(s): 22-39

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Title

Multi-Objective Optimization Model for the Sustainable Natural Gas Supply Chain

Author(s)

ZAMANIAN MOHAMMAD REZA | Issue Writer Certificate

Keywords

Multi-objective

ε-constraint

Natural gas supply chain

Sustainability

Optimization

Abstract

Sustainable supply chain has become an accurate part of the corporate strategy. In this research, 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-echelon supply chain has been offered and presented schematically. The aim of this paper is to optimize a case study using a Multi-objective and multi-period model. A small-sized model was verified and solved using an improved augmented ε-constraint algorithm to generate Pareto optimal solutions and assessed trade-offs among objectives in order to help decision makers make an optimal decision. Sensitivity analysis was conducted on its parameters. To the best of our knowledge, this is the first study that presents a Multi-objective Optimization model for the sustainable Natural gas supply chain.

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APA: Copy

ZAMANIAN, MOHAMMAD REZA. (2020). Multi-Objective Optimization Model for the Sustainable Natural Gas Supply Chain. JOURNAL OF SCIENCE AND ENGINEERING ELITES, 5(4 ), 22-39. SID. https://sid.ir/paper/763134/en

Vancouver: Copy

ZAMANIAN MOHAMMAD REZA. Multi-Objective Optimization Model for the Sustainable Natural Gas Supply Chain. JOURNAL OF SCIENCE AND ENGINEERING ELITES[Internet]. 2020;5(4 ):22-39. Available from: https://sid.ir/paper/763134/en

IEEE: Copy

MOHAMMAD REZA ZAMANIAN, “Multi-Objective Optimization Model for the Sustainable Natural Gas Supply Chain,” JOURNAL OF SCIENCE AND ENGINEERING ELITES, vol. 5, no. 4 , pp. 22–39, 2020, [Online]. Available: https://sid.ir/paper/763134/en

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