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    政大機構典藏 > 理學院 > 應用數學系 > 期刊論文 >  Item 140.119/115635


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/115635


    Title: Optimal configuration of a green product supply chain with guaranteed service time and emission constraints
    Authors: 陸行
    Hong, Zhaofu
    Dai, Wei
    Luh, Hsing
    Yang, Chenchen
    Contributors: 應數系
    Keywords: OR in environment and climate change;Supply chain configuration;Guaranteed service time;Emission constraint;Sustainable supply chain management
    Date: 2018-04
    Issue Date: 2018-01-29 10:46:41 (UTC+8)
    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.
    Relation: European Journal of Operational Research, Volume 266, Issue 2, Pages 663-677
    Data Type: article
    DOI 連結: https://doi.org/10.1016/j.ejor.2017.09.046
    DOI: 10.1016/j.ejor.2017.09.046
    Appears in Collections:[應用數學系] 期刊論文

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