LED產業供應鏈之策略性規劃;Strategic LED Supply Chain Planning

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题名:	LED產業供應鏈之策略性規劃;Strategic LED Supply Chain Planning
作者:	蘇思潔;Su,Sih-jie
贡献者:	工業管理研究所
关键词:	接單模式;策略性規劃;供應鏈管理;strategic planning;supply chain management;order fulfillment
日期:	2012-07-16
上传时间:	2012-09-11 18:59:57 (UTC+8)
出版者:	國立中央大學
摘要:	半導體、發光二極體(LED)等高科技產業其生產重鎮主要分布於亞洲地區，而台灣身為全球第二大LED生產國，其出貨量僅次於日本，但近年來台灣高科技產業逐漸外移至大陸，兩岸經貿問題在做決策時便成為重要考量因素之一。本文所探討的問題情境是高科技產業中常見的多階段、多廠區之供應鏈網路問題，期望能以文中所提出的數學模型針對整體製造鏈與配銷鏈做出最佳決策，以供管理決策者參考。本模型中，考慮顧客需求上，可能會希望在特定國家(台灣/大陸)進行產品的製造，因此提供不同製造模式以供挑選，而製造模式的目的在於顧客可指定前段製程與後段製程生產工廠的所在地區；但由於台海政治關係因素，導致大陸地區的需求訂單僅能由大陸之接單單位進行接單動作，而台灣地區的需求訂單也僅能由台灣接單單位進行接單，當訂單有跨國製造之需要發生時，便需透過轉單單位且需支付轉單成本。我們必須在產能限制下，根據顧客所指定之不同製造模式，期望找出最佳製造模式並以整體供應鏈網路之利潤最大化為目標。最後，會以實際資料代入模型中，證明數學模型於現實中之可行性。Semiconductor light-emitting diode (LED) and other high-tech industry’s production center is mainly distributed over Asia. Taiwan, as the world's second largest LED supplyer, and its shipments is only after Japan, but in recent years, Taiwan's high-tech industry gradually moved to the China, cross-strait economic and trade issues will become one of the important considerations when making decisions. This paper discusses the problem situation is common in high-tech industry, multi-stage, multi-plant supply chain network problem. we expect to provide the usage of the mathematical model for enhancing the overall manufacturing chain and distribution chain.This model provides different manufacturing modes for selection due to consideration of that some customers might would prefer to choose a particular countries(Taiwan、China) for producing the products. Moreover, the purpose of the manufacturing modes is that customers are able to specify the locations of production factories of front-end-of-line and back-end-of-line. However, because of the political relationship between Taiwan and China, demand orders of Mainland only can be taken by local factories while demand orders of Taiwan only can be taken by local. Besides, we need to pay intermediary organization for transferring fees when the requirements of multinational manufacturing are existed.At the capacity constraints, according to the manufacturing model by customer, we hope we can find an optimal manufacturing model and the maximize profit. Finally, we will take the actually data to verify the mathematical model.
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