| Optimal configuration of a green product supply chain with guaranteed service time and emission constraints | |
Hong, ZF(洪兆富)1 ; Dai, Wei2; Luh, Hsing3; Yang, Chenchen4 | |
| 2018-04-16 | |
| Source Publication | EUROPEAN JOURNAL OF OPERATIONAL RESEARCH
 |
| ISSN | 0377-2217 |
| Volume | 266Issue:2Pages:663-677 |
| Abstract | This paper studies a supply chain configuration (SCC) problem for a green product family in consideration of guaranteed service time and emission constraints. Several alternative options can be employed to implement the functions of each stage and safety inventory is adopted to satisfy stochastic demands. An SCC model is formulated to optimize the service time and option selection decisions to minimize the overall cost of the supply chain. The structural properties of the model are addressed and the problem is decomposed into two subproblems, namely, the service time decision problem and option selection problem. For the service time decision problem, the structural properties of the supply chain network is carefully studied, based on which a spanning tree-based algorithm (STA) is presented to solve the problem optimally. For the option selection problem that is proven to be NP-hard, a particle swarm optimization algorithm (PSO) is adopted to efficiently solve the problem. Consequently, a hybrid algorithm (STA+PSO) is developed to solve the SCC model. The numerical results show that the hybrid algorithm can efficiently and effectively solve the SCC model. The emission constraints on green products have significant effects on the supply chain cost and the emissions of the products; while the guaranteed service time also remarkably influences the supply chain configuration. (C) 2017 Elsevier B.V. All rights reserved. |
| Keyword | OR in environment and climate change Supply chain configuration Guaranteed service time Emission constraint Sustainable supply chain management |
| DOI | 10.1016/j.ejor.2017.09.046 |
| Indexed By | SCIE ; SSCI |
| Language | 英语 |
| First Inst | 是 |
| Funding Project | 国家自然科学基金项目 ; 中央高校基本科研业务费专项资金 |
| WOS Research Area | Business & Economics ; Operations Research & Management Science |
| WOS Subject | Management ; Operations Research & Management Science |
| Project Number | National Natural Science Foundation of China (NSFC) [71401067, 71771108, 71301156, 71771072, 71472079] ; Fundamental Research Funds for the Central Universities [15LZUJBWZD014, 17LZUJBWTD005] |
| WOS ID | WOS:000423646700021 |
| Funding Organization | NSFC ; LZU |
| Publisher | ELSEVIER SCIENCE BV |
| Original Document Type | Article |
| Citation statistics | |
| Document Type | 期刊论文 |
| Identifier | https://ir.lzu.edu.cn/handle/262010/198114 |
| Collection | 管理学院 |
| Corresponding Author | Hong, Zhaofu |
| Affiliation | 1.Lanzhou Univ, Sch Management, Lanzhou, Gansu, Peoples R China 2.Zhejiang Univ, Sch Math Sci, Hangzhou, Zhejiang, Peoples R China 3.Natl Chengchi Univ, Dept Math Sci, Taipei, Taiwan 4.Hefei Univ Technol, Sch Econ, Hefei, Anhui, Peoples R China |
| First Author Affilication | School of Management |
| Corresponding Author Affilication | School of Management |
| Recommended Citation GB/T 7714 | Hong, Zhaofu,Dai, Wei,Luh, Hsing,et al. Optimal configuration of a green product supply chain with guaranteed service time and emission constraints[J]. EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,2018,266(2):663-677. |
| APA | Hong, Zhaofu,Dai, Wei,Luh, Hsing,&Yang, Chenchen.(2018).Optimal configuration of a green product supply chain with guaranteed service time and emission constraints.EUROPEAN JOURNAL OF OPERATIONAL RESEARCH,266(2),663-677. |
| MLA | Hong, Zhaofu,et al."Optimal configuration of a green product supply chain with guaranteed service time and emission constraints".EUROPEAN JOURNAL OF OPERATIONAL RESEARCH 266.2(2018):663-677. |
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