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

Sustainability

Anthony S. F. Chiu¹  Chenyi Cai²  Yiyun Liu²  Rui Zhao²  Tao Huang²  Kuo-Jui Wu³ 

[1] Department of Industrial Engineering, De La Salle University, Manila 1004, Philippines;Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, China;School of Business, Dalian University of Technology, Panjin 124221, China;

关键词: agro-waste;    Belt and Road Initiative;    supply chain management;    multi-objective optimization;    system dynamics;   

DOI  :  10.3390/su10030868

来源: DOAJ

【 摘 要 】

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.

【 授权许可】

Unknown