A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives
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...
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MDPI AG
2018-03-01
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| Series: | Sustainability |
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| Online Access: | http://www.mdpi.com/2071-1050/10/3/868 |
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doaj-af44d8efddc94cb493f90a737e18d8082020-11-24T22:09:18ZengMDPI AGSustainability2071-10502018-03-0110386810.3390/su10030868su10030868A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road InitiativesYiyun Liu0Rui Zhao1Kuo-Jui Wu2Tao Huang3Anthony S. F. Chiu4Chenyi Cai5Faculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaSchool of Business, Dalian University of Technology, Panjin 124221, ChinaFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaDepartment of Industrial Engineering, De La Salle University, Manila 1004, PhilippinesFaculty of Geosciences and Environmental Engineering, Southwest Jiaotong University, Chengdu 611756, ChinaThe 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.http://www.mdpi.com/2071-1050/10/3/868agro-wasteBelt and Road Initiativesupply chain managementmulti-objective optimizationsystem dynamics |
| collection |
DOAJ |
| language |
English |
| format |
Article |
| sources |
DOAJ |
| author |
Yiyun Liu Rui Zhao Kuo-Jui Wu Tao Huang Anthony S. F. Chiu Chenyi Cai |
| spellingShingle |
Yiyun Liu Rui Zhao Kuo-Jui Wu Tao Huang Anthony S. F. Chiu Chenyi Cai A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives Sustainability agro-waste Belt and Road Initiative supply chain management multi-objective optimization system dynamics |
| author_facet |
Yiyun Liu Rui Zhao Kuo-Jui Wu Tao Huang Anthony S. F. Chiu Chenyi Cai |
| author_sort |
Yiyun Liu |
| title |
A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives |
| title_short |
A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives |
| title_full |
A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives |
| title_fullStr |
A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives |
| title_full_unstemmed |
A Hybrid of Multi-Objective Optimization and System Dynamics Simulation for Straw-to-Electricity Supply Chain Management under the Belt and Road Initiatives |
| title_sort |
hybrid of multi-objective optimization and system dynamics simulation for straw-to-electricity supply chain management under the belt and road initiatives |
| publisher |
MDPI AG |
| series |
Sustainability |
| issn |
2071-1050 |
| publishDate |
2018-03-01 |
| description |
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. |
| topic |
agro-waste Belt and Road Initiative supply chain management multi-objective optimization system dynamics |
| url |
http://www.mdpi.com/2071-1050/10/3/868 |
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