標題: 考量不同供應商管理庫存形式之半導體供應鏈決策模式
Developing the Decision Model for Semiconductor Supply Chain under Different Vendor Managed Inventory Scenarios
作者: 黃璽源
Huang, Hsi-Yuan
陳穆臻
Chen, Mu-Chen
運輸與物流管理學系
關鍵字: 供應鏈管理;供應商管理庫存;推拉邊界;半導體產業;數學規劃;Supply Chain Management;Vendor Managed Inventory;Push-Pull Boundary;Semiconductor Industry;Mathematical Programming
公開日期: 2010
摘要: 在全球化經濟發展、資訊科技快速進步、產品生命週期縮短與消費者意識抬頭等影響下,多數產業的市場競爭變得更加劇烈,半導體產業更是目前競爭最激烈之一。過去單一企業進行決策的方式已不能應付日益競爭的市場環境,為提高供應鏈系統的效率、降低風險與成本,必須提昇至供應鏈系統間競爭才足以抗衡此競爭環境。在此背景下,半導體產業中的整合元件製造公司若在滿足一定服務水準下要最大化利潤,對外應與其顧客選擇何種夥伴關係,對內應採取何種生產規劃,此為供應鏈管理重要之議題。 供應商管理庫存與推拉式供應鏈為目前半導體產業常用以最佳化供應鏈的方式。過去學者多分別研究這二種策略,然而,本研究建構一整合模式,其考量不同供應商管理庫存形式之半導體供應鏈決策模式,以輔助整合元件製造公司之決策者。此模式同時決定與其顧客間之最適供應商管理庫存形式與推拉邊界位置,以及在此方案下之生產規劃。 本研究所發展之模式考量半導體製造之分級、取代與良率特性,並以多階段、多廠區、多產品與產品多等級之生產結構進行塑模。範例結果顯示,本研究所發展之模式能夠求解出最佳方案。
Under the trend of globalization, rapid advancement of Information Technology, the shorter life cycle, and the rise of consumer consciousness, there is fiercer market competition in most industries, especially in the semiconductor industry. In order to increase the efficiency of supply chains, cut down the cost, and reduce the risks, the competitions among companies have to upgrade to the one among supply chains. Under the circumstances, the intergration issues, such as deciding on the partnership with customer externally and scheduling the production plan internally, are crucial for the Integrated Device Manufacturer (IDM) to maximize the profits under certain service level. The most popular strategies for the semiconductor industry, Vendor Managed Inventory (VMI) and Push-pull Supply Chain, were usually studied individually. However, an integrated model of supply chain decision for semiconductor industry under different VMI scenarios is developed in this study. The integrated model is developed to to help decision makers determine the production quantity and the production location under different VMI scenarios and push-pull boundary. The semiconductor manufacturing characteristics including binning, subsititution, and yield are taken into consideration in the developed model. In addition, the model is developed under the production structure of multi-stage, multi-site, multi-product, and multi-grade of product. The results of the example show that the developed model can generate the optimal solution.
URI: http://140.113.39.130/cdrfb3/record/nctu/#GT079836512
http://hdl.handle.net/11536/47983
顯示於類別:畢業論文