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A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives

Author

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  • Yiyun Liu

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Rui Zhao

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China
    Sichuan Province Cyclic Economy Research Centre, Southwest University of Science and Technology, Mianyang 621010, China)

  • Kuo-Jui Wu

    (School of Business, Dalian University of Technology, Panjin 124221, China)

  • Tao Huang

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

  • Anthony S. F. Chiu

    (Department of Industrial Engineering, De La Salle University, Manila 1004, Philippines)

  • Chenyi Cai

    (Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China)

Abstract

The Belt and Road Initiative (BRI) provides immense opportunities for agro-waste utilization among countries situated along the routes. However, there is a lack of design of motivational mechanisms to put it into managerial practice. This study uses agro-straw as the typical agro-waste to structure a hybrid of multi-objective optimization and system dynamics simulation for optimizing the structure of straw-to-electricity supply chain and designing motivational mechanisms to enhance its sustainability. Since existing studies on the design of motivation mechanisms mainly stressed static motivation, two different dynamic subsidy mechanisms are devised in this study to facilitate the stable collaboration among stakeholders involved in the supply chain. A case study is provided to demonstrate the hybrid method. Discussion about the limitations of the study lays the foundation for further improvement.

Suggested Citation

  • Yiyun Liu & Rui Zhao & Kuo-Jui Wu & Tao Huang & Anthony S. F. Chiu & Chenyi Cai, 2018. "A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives," Sustainability, MDPI, vol. 10(3), pages 1-17, March.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:3:p:868-:d:136955
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    Cited by:

    1. Wang, Zhanwu & Wang, Zhenfeng & Tahir, Nadeem & Wang, Heng & Li, Jin & Xu, Guangyin, 2020. "Study of synergetic development in straw power supply chain: Straw price and government subsidy as incentive," Energy Policy, Elsevier, vol. 146(C).
    2. Shuo Wang & Junnian Song & Xian’En Wang & Wei Yang, 2019. "The Spatial and Temporal Research on the Coupling and Coordinated Relationship between Social Economy and Energy Environment in the Belt and Road Initiatives," Sustainability, MDPI, vol. 11(2), pages 1-18, January.
    3. Sumeet Sahay & Hemant Kumar Kaushik & Shikha Singh, 2023. "Discovering themes and trends in electricity supply chain area research," OPSEARCH, Springer;Operational Research Society of India, vol. 60(3), pages 1525-1560, September.

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