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    政大機構典藏 > 商學院 > 資訊管理學系 > 學位論文 >  Item 140.119/99335
    Please use this identifier to cite or link to this item: http://nccur.lib.nccu.edu.tw/handle/140.119/99335

    Title: 應用模擬工具改善電子零組件通路商產品經理之訂單決策
    A Simulation Tool to Enhance Product Managers Order Decision-Making in the Electronic Component Industry
    Authors: 蔡耀賢
    Tsai, Yao Hsien
    Contributors: 張欣綠

    Chang, Hsin Lu
    Chuang, Hao Chun

    Tsai, Yao Hsien
    Keywords: 決策輔助系統
    decision support system
    electronic component industry
    order management
    simulation tool
    Date: 2016
    Issue Date: 2016-07-20 17:14:59 (UTC+8)
    Abstract: W企業在台灣是一個大型的電子零組件通路商,在供應鏈上扮演著舉足輕重角色,負責整體供應鏈產品的調節和緩衝。然而,在變動相當快速、產品生命週期短的高科技產業往往面對許多的不確定性而導致訂單經常有變動發生。以W企業來說,產品經理是面對不確定性並處理訂單情況的第一線人員,但他們目前都僅仰賴自己的直覺和經驗去做訂單決策,沒有一個明確的決策準則。因此為了解決這樣的問題,W企業與政大合作設計一套模擬工具(ODSS)來輔助產品經理並改善其訂單決策能力。本研究使用模擬工具和產品經理直觀的決策在4個特定情境下探討是否能夠改善產品經理的決策能力。我們在本研究發現了3個結論:
    As one of the biggest electronic component distributors in Taiwan, W company plays a buffer role between upstream and downstream companies in the electronic component industry. While an electronic component distributor may face many uncertain situations, product managers of W company face tremendous challenges when making ordering decisions. Currently, product managers in W company rely solely on their experience and intuition to make decisions, as the company lacks clear rules or methods for supporting its product managers. To solve this problem, we collaborated with W company to design a simulation tool (ODSS) for their product managers and for decision making. Drawing on this research, we reached three conclusions:
    1. For a single-period problem with one ordering decision, ODSS’s prediction is closer to fulfilment. However, the manager trends to order fewer items because he/she (a) tends to be more conservative in initial ordering decisions and (b) considers the possibility of placing extra orders later or delaying some of the shipment.
    2. Logically, when the desired service level is high, we expect managers’ ordering quantities to increase accordingly. However, we observed that this may not hold in actual decisions, which primarily depend on customer and component types.
    3. For input parameters of ODSS, we observed (a) the confidence level is affected by vendor support level, component type, and transaction history; and (b) the service level does not necessarily reflect the customer type.
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    Description: 碩士
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0103356008
    Data Type: thesis
    Appears in Collections:[資訊管理學系] 學位論文

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