由於TFT-LCD產業之特性，使得其LCM廠常設至在海外人力成本較低之處，因此在作物料規劃與運輸規劃時常需面臨多點、多廠之跨國性物流系統，而其中最關鍵的課題就是如何控制物料運輸的準確性與經濟性。
因此本研究希望能為TFT-LCD面板產業建立了一套循序性的全球運籌規劃系統，首先以船班規劃找出最適合的運輸模式，然後再以運輸模式當作基礎去求得運輸規劃之最佳解。
本研究所建立的船班規劃模型共有兩種，模型一的目標是以總存貨時間最短，而模型二的目標則是運輸成本與存貨成本最小。且經案例驗證後發現確實能有效改善原本規劃模式，尤其在船班的運輸時間越短於一般規劃模式所需提前準備運輸時間時。至於選擇模型一或模型二，可將存貨成本與不同運輸模式之運輸成本當作判斷之依據。
運輸規劃之目標函數是要求得物料從LCD廠製造後運輸到配送中心之倉儲、然後再外物料倉儲與LCM廠之整個運輸流程的運輸成本最小值，並以線性規劃取得近似最佳解。而此規劃系統將為個案公司提供全球運籌物料規劃的參考。

Because of the characteristics of TFT-LCD industry, the cost of labor for LCM plants is lower in some countries outside Taiwan. It is forced to consider multi-points/multi-plants international logistics system for materials planning and schedule of transportation. The key issue is to control the accuracy and economy of materials transportation system. This research develops a sequential approach to the material planning of multi-site TFT-LCD module plants. First, the best transport pattern was created by ship schedule planning system. Then the optimal transportation plan was derived based on the transport pattern.
Two ship planning models were created in this research. The goal of the first model is to minimize the stocking time of total inventory. Whereas the goal of the second model is to minimize transportation costs and inventory costs. The system was valid by case company and found out that the proposed system can really improve the original planning effectively, especially for the ship schedule is shorter than the general planning method with the need to transport ahead of time for in time delivery. Various inventory costs and transportation costs for different transport models provide criteria for selecting from first model and second model.
The objective function of transportation planning is to minimize transportation costs for materials form LCD plants to the warehouse of distribution centers, from DCs to the warehouse of LCM plants. The model was solved by linear programming, and then the planning system will provide a solution for the case company with global logistics for materials planning.

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