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    Please use this identifier to cite or link to this item: http://asiair.asia.edu.tw/ir/handle/310904400/9646

    Title: 產業協同供應鏈供應商管理存貨模式之研究-以台灣TFT-LCD廠商為例(II)
    Authors: 邱煥能
    Contributors: 管理學院
    Keywords: 供應鏈骯;快速回應;供應商管理存貨;長鞭效應;數學規劃模式
    Date: 2009
    Issue Date: 2010-05-14 14:13:58 (UTC+8)
    Abstract: 面臨世界金融危機的衝擊,在各行各業不景氣的情況下,勢必要開源節流。所
    「供應商管理存貨」(Vendor-Managed Inventory;VMI),即是企業為了使生產和銷
    去年本計畫以台灣TFT-LCD 廠商為例,著重於找出產業協同供應鏈VMI 系統
    中影響VMI 績效之重要因素,作為本計畫第二年建構產業協同供應鏈整合性VMI
    心廠(例如,友達光電)與供應商之多階層(例如,三階層)VMI 系統,首先定義操作
    內的最適訂購、製造或供料次數及最適補貨週期時間,使供應鏈VMI 總成本(包括
    TFT- LCD 廠商進行實務個案研究。
    1. 研究目的與問題描述。
    2. 相關文獻探討。
    3. 利用斐氏圖建構多階層供應鏈成員間之VMI 流程模型,再由改善後VMI 流
    程圖發掘影響VMI 運作的重要因素。
    4. VMI 重要因素操作性定義、數學符號說明與基本假設。
    5. 建構數學規劃模式和發展有效的求解方法。
    6. 實驗設計及求解效能分析
    7. 台灣TFT-LCD 廠商實務個案研究。
    In the face of the seriously economical crisis in today’s world, businesses in
    each industry should save costs and make an effort to find profitable opportunities in
    the situation where the global economics is in a state of deep depression. As far as
    business operations are concerned, cost savings are the cost reduction and the waste
    elimination. To achieve the goals of survival and growth, each industry must endeavor
    to strengthen the relationships among the partners in the upper, middle, and lower
    streams of the supply chain. They should closely cooperate together, propose effective
    strategic and action plans, and organize a collaborative team to rapidly penetrate
    markets, considerably reduce the stock level, and significantly improve their
    competitive advantages through effective supply chain operations. Obviously, quick
    response to customer requirements has become one of the prerequisites for business
    survival. For this reason, vendor-managed inventory (VMI) that is one of the useful
    tools to respond quickly has been widely used in various industries. Businesses must
    place special emphases on the variations of customer orders and schedules, capacity
    commitment, shortage prevention, and vendor automatically continuous
    replenishment when operating a VMI system. Consequently, the whole supply chain
    of the industry can lower inventory level, reduce the impact of the bullwhip effect,
    decrease logistics cost, and increase the service level of product or material supply.
    In the last year, this project focused on studying the case of three TFT-LCD
    companies in Taiwan from the viewpoint of industrial collaboration and explored
    important factors that significantly affect the performance of VMI systems. The
    results can be used as a preliminary basis to construct an integrated VMI system in
    this year. The VMI system (e.g., a three-level supply chain) includes a core TFT-LCD
    company (i.e., AU Optronics Corporation (AUO)) and its up-stream vendors.
    In this year, this project will first define the notation of operational variables
    and make the basic assumptions. Then, an integrated VMI model will be formulated
    for the industrial supply chain according to the last year’s research results (i.e., VMI
    performance influential factors and crucial problems) and it will be solved by an
    optimization package (e.g., LINGO) for the small-scale problems since it has been
    proven to be NP-hard. For the reason of difficultly obtaining an optimal solution, an
    effective heuristic method will be developed and genetic algorithms including
    modified and hybrid search methods will be used to solve the large-scale problems. In
    addition, an experiment and a computational efficiency analysis will be also
    conducted. Finally, the proposed mathematical programming model and methods will
    be applied to a well-known Taiwanese TFT-LCD company and its up-stream vendors
    in order to verify the aptness of these approaches.
    This study can be divided into the following seven parts:
    1. Set the research purpose and describe the problem.
    2. Review the related literature.
    3. Use Petri-Net approach to construct and improve a multi-level supply chain VMI
    flow model and to find out important factors that have a significant influence on
    the performance of the VMI system.
    4. Define the notation of operational variables and make the basic assumptions.
    5. Formulate a mathematical programming VMI model, develop an effective heuristic
    method, and use genetic algorithms to solve the problem.
    6. Conduct an experiment and a computational efficiency analysis for the proposed
    model and methods.
    7. Apply the proposed model and methods to a well-known Taiwanese TFT-LCD
    company (i.e., AUO) and its up-stream vendors to demonstrate the aptness of these
    Appears in Collections:[經營管理學系 ] 科技部研究計畫

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