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    Please use this identifier to cite or link to this item: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/87483

    Title: 整合性庫存控制與配送物流網路之多目標區位定址問題之模型建立與探討 : 以臺灣醫療血液供應鏈為例
    Other Titles: The multi-objective facility location problem model with integrated inventory control and logistics network issues : in the case of Taiwan medical blood supply chain
    Authors: 胡琇涵;Hu, Hsiu-Han
    Contributors: 淡江大學管理科學學系碩士班
    廖述賢;Liao, Shu-Hsien
    Keywords: 設施區位定址;整合性供應鏈;庫存控制;血液供應鏈;血液倉儲;多目標規劃;遺傳基因演算法;Facility Location Problem (FLP);Integrated Supply Chain;Inventory Control;Blood Supply Chain;Blood Warehouse;Multi-Objective;Evolutionary Algorithm
    Date: 2012
    Issue Date: 2013-04-13 11:13:31 (UTC+8)
    Abstract: 本研究主要是探討台灣血液供應鏈之區位定址問題,依據退化性產品(血液)之特性區分為兩階段討論本研究的數學模型,策略階段為整合供應鏈管理議題中定址與運輸問題;戰術階段則是庫存控制問題,以兩階層的供應鏈為例,由捐血中心將血液產品運送至血液倉儲,血液倉儲再將血液產品配送至各層級醫院。
    The study is focused on the design of Facility Location Problem (FLP) in a logistics network for a blood supply chain in Taiwan. According to the blood characteristic of deterioration, we design a two-staged model to depict our problem. In the strategic level, we discuss the issues of facility location and transportation decisions in supply chain management. In the tactic level, we consider about the inventory control problem. In our two-staged blood supply chain, the blood center, where the blood is collected from donors, sends whole blood to a blood warehouse and then it is distributed to different levels of hospitals.
    Our goal of using two objectives to minimize the total supply chain cost and the maximize responsiveness level. In order to find the Pareto optimal solutions, we use Non-dominated Sorting Genetic Algorithm (NSGA-Ⅱ) to solve a mixed nonlinear integer programming problem with two greedy heuristics. We use the software of MATLAB to solve our established model. According to the computational results, we realize the effects of the optimal Pareto solutions in our problem.
    We also design three different scenarios to understand how different conditions affect both strategic and tactic decisions so that, the decision makers could make decisions from the computational solutions. Finally, we perform sensitivity analysis to understand the impacts on changing model parameters.
    Appears in Collections:[管理科學學系暨研究所] 學位論文

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