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    Please use this identifier to cite or link to this item: https://tkuir.lib.tku.edu.tw/dspace/handle/987654321/119628

    Title: Incorporating Inventory, Location and Routing Decisions in Two-Echelon Supply Chain Network Design: A Hybrid Genetic Approach
    Other Titles: 以混合遺傳演算法求解整合性區位存貨、定址以及運輸路徑之兩階層供應鏈分銷網路設計
    Authors: Liao, Shu-Hsien;Hsieh, Chia-Lin;Ho, Wei-Chung
    Keywords: Two-echelon supply chain network design;Location-inventory problem;Vehicle-routing problem;Genetic algorithms;兩階層供應鏈設計模式;定址-存貨整合問題;車輛路徑問題;遺傳演算法
    Date: 2017-03
    Issue Date: 2020-11-24 12:10:39 (UTC+8)
    Publisher: Journal of the Chinese Institute of Transportation (運輸學刊)
    Abstract: This study presents a two-echelon supply chain network design (2E-SCND) model consisting of a vendor, a number of potential distribution centers (DCs), and end customers. According to the demand size, we classify the end customers into two sets of clients, big and small, which are replenished by direct shipping and routing policies, respectively. Facility location is a strategic decision that requires vast capital investment. Failure to account for shipping costs for potential clients can lead to a sub-optimal facility location model. Therefore, this study aims not only to determine the number and location of DCs, but also to consider the distribution plan for big and small clients. The problem belongs to the class of NP-hard problems since it contains the location-inventory problem (LIP) and the multi-depot vehicle routing problem (VRP), both of which are NP-hard. The study develops a genetic algorithms-based three-phase heuristic approach to resolve this problem. The experimental results indicate that the proposed algorithms can efficiently yield near-optimal solutions and demonstrate the trade-off among the related costs.
    Relation: Journal of the Chinese Institute of Transportation=運輸學刊 29(1), p.97-122
    DOI: 10.6383/JCIT.201703_29(1).0004
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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