在現今的高科技產業中，薄膜電晶體液晶顯示器 (TFT-LCD：Thin Film Transistor Liquid Crystal Display)面板產業的崛起取代了許多現有的顯示器產品。隨著產業的逐漸發展，許多面板技術與應用產品的製造廠在國內外擴充新製程，也使市場的競爭更加激烈。為了使企業更具有競爭力且獲得較佳利潤，面板製造商必須嚴控生產成本，並對於未來隨機的需求，進行整體生產供應鏈的有效規劃。TFT-LCD產業的生產供應鏈架構相當的複雜，本研究針對產業的特性與條件，探討產線設置、投料計畫與整體運輸規劃問題，在市場需求隨機與產能供給有限的條件下，發展一包含TFT-LCD陣列製程、面板組立製程與模組製程的多階層多廠區數學模型，並以企業整體利潤最大化為規劃目標。現今產業界中，隨著新世代的產能開發，產品的尺寸應用變化也更為迅速與複雜，為能即時解決上述模型以提升產能應變時效，發展一有效的求解方法是必要的。因此，本研究發展一結合基因遺傳演法與線性規劃特性的二階層求解方法。該演算法於第一階段將產能設計及第二階段產能配置、運輸規劃的不同層級決策問題分別解決，以做出最佳的決策。最後，藉由一TFT-LCD產業的實際案例，驗證模型的正確性與演算法的效率。

Nowadays, the rise of TFT-LCD (Thin Film Transistor Liquid Crystal Display) industry replaces a large number of existing monitor products. With the increasing development, numerous manufactories of TFT-LCD related technology and applications are set up in domestic and overseas and make the market more competitive. In order to be more competing and gain better profit, the TFT-LCD manufacturers are required to control the product cost strictly and built in advance for the overall product supply chain for the future stochastic demand. The product supply chain of TFT-LCD industry is very complicated. This thesis, based on the condition of the indefinite demand and limited capacity in the market, is aimed to discuss the issues of the capacity setting, resource and transportation planning through constructing a multi-stage and multi-site math model with array, cell and module processes, and finally, hopes to achieve the goal of the benefit maximization. Along with the innovation of capacity development in industry, the size and the applications of products have become rapid and varied as well. For the sake of capacity efficiency of the model constructed, an effective algorithm is the first required. This thesis proceeds with the approach of two-stage algorithm combining the AI method with linear programming to solve the problems mentioned above. It begins with the first stage of capacity setting, and then the second stage of capacity allocation and transportation planning. According to the different levels, the algorithm attempts to offer a perfect strategy respectively. In the end, the thesis will verify the correctness of the model and prove the efficacy of the algorithm through a real case in Taiwan’s TFT-LCD industry.

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