半導體產業的運籌管理決策模式:決策架構及演算法; Decision Model of Logistics Management for Semiconductor Industry:Decision Frame and Algorithm

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題名:	半導體產業的運籌管理決策模式:決策架構及演算法;Decision Model of Logistics Management for Semiconductor Industry:Decision Frame and Algorithm
作者:	林彥宏;Yan-Hong Lin
貢獻者:	企業管理研究所
關鍵詞:	運籌管理;協同規劃;先進規劃系統;Logistics Management;APS;Collaboration Planning
日期:	2004-06-18
上傳時間:	2009-09-22 14:26:02 (UTC+8)
出版者:	國立中央大學圖書館
摘要:	半導體產業的運籌管理不僅多變且複雜，尤其在產業全球化的浪潮下，管理者所面臨的挑戰與威脅與日俱增。如何在競爭激烈的環境下創造優勢，便成為所有半導體製造業者的核心議題。從價值鏈的分析角度，晶圓製造階段為整個產業核心價值創造的最大來源，也因此學者專家在這方面投入相當多的研究。而半導體資材種類繁多，生產製程複雜且週期長，往往產生物料供應無法滿足生產的需求。在我們所研讀的文獻當中，唯獨在物料供應與生產規劃之間的協同規劃問題，卻少有人加以提出解決方案。因此，本篇論文便是在Hartmut Stadtler（2000）等學者所建構的決策架構APS（Advanced Planning System）下，發展出一套啟發解法，專門用來處理生產規劃與物料需求規劃之間的協同問題。同時也發展出兩套決策模型，提供管理在處理生產排程與採購計劃時的規劃工具。最後，我們透過實驗設計，歸納出在不同情境下的最佳運籌規劃目標。 The variability and complexities of the global manufacturing scenario especially in the semiconductor manufacturing industry increased greater extent to which most inter-country corporations became more sensitive to demand fluctuation and tried to look for new ways to cope with the changes in the environment in order to enhance higher business operating performance. Each complete wafer includes several hundreds of materials with solid, vapor and liquid on it so that collaboration between material requirement planning and production planning become a critical management issues in semiconductor manufacturing industry.We need a more complete planning system to make a corporation plan overall and it is necessary for collaborating with time, space, material and financial flows to deal with problems for GLM. Hartmut Stadtler et al. (2000) have proposed a structure of Advanced Planning Systems(APS), which consists of several planning tasks and shows more completeness for planning. Based on APS, we constructed one Heuristics and two decision model to provide the managers with planning tool. Finally,by an experiment, we conclude the best goal of operation under different circumstances.
顯示於類別:	[企業管理研究所] 博碩士論文

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