近期全球處於經濟低迷的情勢，且TFT-LCD面板產業的技術發展也趨於成熟，在產能方面也面臨供過於求的問題，價格上的競爭更為激烈，許多國內大型TFT-LCD面板製造廠商開始將部分材料進行自製以降低成本，以提高企業在市場上的競爭能力。在過去的規劃中，由於整合規劃複雜度過高，實務上多於各階段製程分別安排產能，依循經驗法則進行規劃。然而，此種規劃方式，往往造成整體效益欠佳。
整體產能規劃能夠同時考量各階段與部門的數據資訊與規劃特性，根據企業目標方針，提出最佳的資源與運輸分派計畫。因此，本研究探討具TFT-LCD面板產業特性之中長期產能規劃問題，針對TFT-LCD面板產業生產鏈之中的陣列製程、面板組立製程與模組製程進行產能規劃的探討。考慮在產能供過於求與市場需求非確定的情況之下，如何制定穩健的產能分派計劃。本研究針對TFT-LCD面板產業的特性，發展一涵蓋陣列製程、面板組立製程與模組製程之多階層多廠區之非確定性數學規劃模型。且根據上述精確數學模型之描述，發展需求非確定性情況下之柔性演算法以有效提出各廠區之產能分派計劃、存缺貨規劃，及階層間各廠區之運輸分派計劃。並將平行化運算的概念應用於柔性計算方法的發展，以提高演算法運作效率。本研究以TFT-LCD面板產業實際案例，探討上述發展的模型與演算法參數，對於規劃結果的影響。

The economy is still in the depression recently, while the technique of manufacturing TFT-LCD products is going to mature, and to supply more than demand in the market. So the price competition of TFT-LCD is more intense. Many TFT-LCD manufacturing firms increase the proportion of self-manufacturing to lower cost, and thus hopefully enhance their comptitiveness in the market. However, because capacity planning and supply chain integration is highly challenging, the capacity allocation usually follow naïve decisions mostly based on subjectice experiences which result in poor efficiency.
This study targets on a long-term capacity planning for TFT-LCD industry, and focuses on array, cell and module processes to achieve an effective and efficient integrated resource and transportation plan. Considering the environment that supply is more than demand in recent and future, this study addresses the issue regarding how to provide a robust resource and transportation allocation plan.
With the consideration of the feature in TFT-LCD industry, we develop a formal mathematical representation of a capacity planning model of such a multi-stage and multi-site TFT-LCD supply chain consisting of array, cell and module process.　With the consideration of high complexity of the problem addressed, we develop a soft-computing method against non-deterministic demand, to provide efficiently a capacity and transportation plan.
This study targets on a long-term capacity planning for TFT-LCD industry, and focuses on array, cell and module processes to achieve an integrated resource and transportation plan. Considering the environment that supply more than demand in recent and future, how does provide the robust resource and transportation allocation plans.
With the consideration of the feature in TFT-LCD industry, we will develop a formal mathematical representation of a capacity planning model of such a multi-stage and multi-site supply chain consisting of array, cell and module process.　With the consideration of high complexity of the problem addressed, we will develop an appropriate soft-computing method against un-deterministic demand, to provide efficiently a capacity and transportation plan among stages and sites.

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