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A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits

Author

Listed:
  • Jie Jian

    (School of Economic and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • Yu Guo

    (School of Economic and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • Lin Jiang

    (School of Economic and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • Yanyan An

    (School of Economic and Management, Chongqing University of Posts and Telecommunications, Chongqing 400065, China)

  • Jiafu Su

    (Chongqing Key Laboratory of Electronic Commerce & Supply Chain System, National Research Base of Intelligent Manufacturing Service, Chongqing Technology and Business University, Chongqing 400067, China
    School of Management and Economics, University of Electronic Science and Technology of China, Chengdu 611731, China)

Abstract

Whether the upstream and downstream members in a supply chain (considering environmental objectives) simultaneously stabilize economic benefits has become an important problem in the process of green development. However, few quantitative studies on green supply chains have considered environmental and economic benefits to realize multi-objective optimization. To study operation and cooperation strategies with a consideration of the different objective on the level of supply chain, we first establish a green supply chain game model with profit and environment objectives simultaneously considered by the manufacturer. Then, we analyze the multi-objective decisions of the supply chain members under centralized control using a manufacturer-led Stackelberg game and revenue-sharing contract. Using the manufacturer’s environmental preference as a variable, the effects of environmental benefits on the supply chain are also investigated. Finally, this study determines that the manufacturer’s profit will be reduced after considering the objective of environmental benefits, while the retailer’s profit, product greenness, and environmental benefits will be improved. Meanwhile, the total profit of the green supply chain will first increase and then decrease. In particular, a revenue-sharing contract can facilitate the coordination of multiple objectives; in this way, both the manufacturer and the retailer achieve higher profits and environmental benefits compared to a decentralized control condition, which is of great significance in achieving a win–win situation for the economy and the environment.

Suggested Citation

  • Jie Jian & Yu Guo & Lin Jiang & Yanyan An & Jiafu Su, 2019. "A Multi-Objective Optimization Model for Green Supply Chain Considering Environmental Benefits," Sustainability, MDPI, vol. 11(21), pages 1-20, October.
    • Handle: RePEc:gam:jsusta:v:11:y:2019:i:21:p:5911-:d:279868
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    References listed on IDEAS

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    8. Wen Zhang & Qinghe Yuan & Shun Jia & Zhaojun (Steven) Li & Xianhui Yin, 2021. "Multi-Objective Optimization of Forth Flotation Process: An Application in Gold Ore," Sustainability, MDPI, vol. 13(15), pages 1-16, July.
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    10. Liu Yang & Han Qin & Quanxin Gan & Jiafu Su, 2020. "Internal Control Quality, Enterprise Environmental Protection Investment and Finance Performance: An Empirical Study of China’s A-Share Heavy Pollution Industry," IJERPH, MDPI, vol. 17(17), pages 1-15, August.

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