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    题名: A Capacitated Inventory-Location Model: Formulation, Solution Approach and Preliminary Computational Results
    作者: Liao, Shu-Hsien;Hsieh, Chia-Lin
    贡献者: 淡江大學經營決策學系
    关键词: Face recognition;principle component analysis;PCA;two dimensional principle component analysis;2DPCA;discrete cosine transformation;DCT;weighted voting;spatial domain;frequency domain;genetic algorithms
    日期: 2009
    上传时间: 2013-03-12 11:01:41 (UTC+8)
    出版者: Heidelberg: Springer
    摘要: Supply chain distribution network system provides an optimal platform for efficient and effective supply chain management. There are trade-offs betweenefficiency and responsiveness. In this research, a multi-objective capacitated location-inventory distribution network system is formulated which integrates the effects of facility location, transportation, and inventory issues and includes conflicting objectives. This model allows determining the optimal locations of distribution centers (DCs) and the assignment of buyers to DCs to find the set of Pareto optimal solutions. The possibility of a hybrid GA approach and its scenario analysis is investigated to understand the model performance and to illustrate how parameter changes influence its output.
    關聯: Lecture Notes in Computer Science 5579, pp.323-332
    DOI: 10.1007/978-3-642-02568-6_9
    显示于类别:[管理科學學系暨研究所] 期刊論文


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