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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/97917


    Title: Multi-objective Dual-Sale Channel Supply Chain Network Design Based on NSGA-II
    Authors: Hsieh, Chia-Lin;Liao, Shu-Hsien;Ho, Wei-Chung
    Contributors: 淡江大學管理科學學系
    Keywords: Supply chain management;Integrated supply chain design;Dual sale channel;Multiple objective evolutionary algorithm;NSGA-II
    Date: 2014-03-01
    Issue Date: 2014-04-28 10:35:59 (UTC+8)
    Publisher: Springer International Publishing
    Abstract: In this study, we propose a two-echelon multi-objective dual-sale channel supply chain network (DCSCN) model. The goal is to determine (i) the set of installed DCs, (ii) the set of customers the DC should work with, how much inventory each DC should order and (iv) the distribution routes for physical retailers or online e-tailers (all starting and ending at the same DC). Our model overcomes the drawback by simultaneously tackling location and routing decisions. In addition to the typical costs associated with facility location and the inventory-related costs, we explicitly consider the pivotal routing costs between the DCs and their assigned customers. Therefore, a multiple objectives location-routing model involves two conflicting objectives is initially proposed so as to permit a comprehensive trade-off evaluation. To solve this multiple objectives programming problem, this study integrates genetic algorithms, clustering analysis, Non-dominated Sorting Genetic Algorithm II (NSGA-II). NSGA-II searches for the Pareto set. Several experiments are simulated to demonstrate the possibility and efficacy of the proposed approach.
    Relation: Lecture Notes in Artificial Intelligence 8481, pp.479–489
    DOI: 10.1007/978-3-319-07455-9_50
    Appears in Collections:[管理科學學系暨研究所] 期刊論文

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