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Optimal configuration of a green product supply chain with guaranteed service time and emission constraints
Hong, Zhaofu1; Dai, Wei2; Luh, Hsing3; Yang, Chenchen4
2018-04-16
Source PublicationEUROPEAN JOURNAL OF OPERATIONAL RESEARCH   Impact Factor & Quartile
ISSN0377-2217
Volume266Issue:2Pages:663-677
AbstractThis 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.
KeywordOR in environment and climate change Supply chain configuration Guaranteed service time Emission constraint Sustainable supply chain management
DOI10.1016/j.ejor.2017.09.046
Indexed BySCIE ; SSCI
Language英语
First Inst
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 AreaBusiness & Economics ; Operations Research & Management Science
WOS SubjectManagement ; Operations Research & Management Science
Project NumberNational Natural Science Foundation of China (NSFC) [71401067, 71771108, 71301156, 71771072, 71472079] ; Fundamental Research Funds for the Central Universities [15LZUJBWZD014, 17LZUJBWTD005]
WOS IDWOS:000423646700021
Funding OrganizationNSFC ; LZU
PublisherELSEVIER SCIENCE BV
Original Document TypeArticle
Citation statistics
Cited Times:57[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttps://ir.lzu.edu.cn/handle/262010/198114
Collection兰州大学
Corresponding AuthorHong, 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
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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