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    政大典藏 > College of Commerce > Department of MIS > Theses >  Item 140.119/35171


    Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/35171


    Title: 簡明三維供應鏈規劃整合模型：以半導體晶圓代工業為例
    Authors: 陳奕光
    Chen, Yi-Kuang
    Contributors: 劉文卿
    陳奕光
    Chen, Yi-Kuang
    Keywords: 供應鏈規劃
    規劃整合
    資訊傳遞
    線性規劃
    supply chain planning
    planning integration
    information propagation
    linear programming
    Date: 2005
    Issue Date: 2009-09-18 14:21:18 (UTC+8)
    Abstract: 本文提出一供應鏈規劃(Supply Chain Planning, SCP)整合的簡明模型，該模型能夠協助晶圓代工公司達到供應鏈規劃整合的目的。模型內含兩個主要部份。一是三維供應鏈規劃網路暨資訊傳遞模型((簡稱三維立體模型)，另一個是適用於晶圓代工業的核心供應鏈規劃模型(簡稱規劃引擎)。
    三維立體模型，它整合供應鏈內垂直與水平方向的參與者，同時也將時間軸上不同時程規劃(長、中、短期)一起併入模式考量範圍。根據公司參與的製造步驟，三維立體模型亦可彈性地由基本型擴充為擴張型。不論是基本型或是擴張型，各節點根據座標軸(coordinate)定義功能並提供服務，這種設計可以提高模式穩健度，減低因外界的變化而引發系統變更需求。系統也可以由座標幫助輕易找到可以提供服務的節點與資訊傳遞的控制(資訊傳遞規則)，資訊可以有序的傳遞分享。
    在核心規劃引擎部份，針對晶圓代工產業在長、中、短期規劃需求，以及產業長生產前置時間時間的特性，設計隨時間變化參數適用於長、中期的線性規劃 (Linear Programming, LP) 模型與適用於短期規劃的啟發式 (heursitic ) 演算模型，配合三維立體模型所定義結構與資料傳遞規則，各時程(長、中、短期)製造階段節點皆可獲取必要資料並進一步以適當規劃法則求取同步與整合的規劃結果。
    最後利用物件導向分析 (object-oriented analysis) 中順序圖 (sequence diagram)、狀態圖(state diagram)、與類別圖 (class diagram) 展示三維立體模型的系統應用架構(application framework)。

    關鍵字：供應鏈規劃，規劃整合，資訊傳遞，線性規劃，物件導向分析，應用架構
    Reference: (1). Alvord, C.H. (1999). The S in APS. IIE Solutions, 31(10), 38-41.
    (2). Ayers, J. B. (2001) Handbook of Supply Chain Management, St.Lucie.
    (3). Bolstorff, R. & Rosenbaum, R. (2003). Supply chain excellence: a handbook for dramatic improvement using the SCOR model, New York. AMACOM.
    (4). Booch, G., Rumbaugh, J., and Jacobson, I. (1999). The Unified Modeling Language User Guide, Addison Wesley.
    (5). Chandra, C. & Kumar, S. (2001). Enterprise Architectural Framework for Supply-Chain Integration., Industrial Management & Data systems, 101(6), 290-303.
    (6). Chen, T. L. & Chang, P. L. (2003). An agent-based framework for information exchange in semiconductor supply chains. International Journal of Services Technology and Management, 4(6), 347-364.
    (7). Chopra, S. & Meindl, P. (2001). Supply Chain Management: Strategy, Planning, and Operation. New Jersey, Prentice Hall.
    (8). Christie, R. M. E. and Wu, S.D. (2002, February). Semiconductor capacity planning: Stochastic modeling and computational studies. IIE Transactions, 34(2), 131-143.
    (9). Duclos, L. K., Vokurka, R. J., & Lummus, R. R. (2003). A conceptual model of supply chain flexibility. Industrial Management & Data Systems, 103(6), 446-456.
    (10). Hillier, F. S. and G.J. Lieberman, G.J. (1995). Introduction to Operations Research. (6th ed.). New York, McGraw-Hill.
    (11). Karabuk, S. and Wu, S. D. (2003). Coordinating Strategic Capacity Planning in Semiconductor Industry. Operation Research, 51(6), 839-849.
    (12). Kehoe, D. F. & Boughton, N. J. (2001). New paradigms in planning and control across manufacturing supply chains: The utilization of Internet technologies. International Journal of Operations & Production Management, 21(5), 582-592.
    (13). Knolmayer, G., P. Mertens, G. P., and Zeier, A. (2001). Supply Chain Management Based on SAP Systems. Berlin, New York, Springer.
    (14). Kumar, K.(2001, June). Technology for supporting supply chain management. Communications of the ACM, 44(6)Vol.44, Iss.6, ,58-61.
    (15). Lambert, D. M., Cooper, M. C. & Pagh, J. D. (1998). Supply chain management: implementation issues and research opportunities. The International Journal of Logistics Management, 9(2), 1-19.
    (16). Lambert, D. M. and Cooper, M.C. (2000). Issues in Supply Chain Management. Industrial Marketing Management, 29, 65-83.
    (17). Lee, H. L. & Billingtonm, C. (1992, Spring). Managing supply chain inventory: pitfalls and opportunities. Sloan Management Review, 65-73.
    Description: 博士
    國立政治大學
    資訊管理研究所
    86356505
    94
    Source URI: http://thesis.lib.nccu.edu.tw/record/#G0086356505
    Data Type: thesis
    Appears in Collections:[Department of MIS] Theses

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