隨著薄膜電晶體液晶顯示器產業(TFT-LCD)越來越蓬勃發展，產品應用越來越廣泛，以及相關產業製造國(台灣、韓國、日本與中國)對於TFT-LCD面板產業給予獎勵與支持，各面板製造廠為了要增強競爭力、降低成本、增加獲利與貼近需求等考量，持續增建廠房與擴充產能。由於廠房的增加，導致面板產業有多廠區生產規劃問題。偏光板乃是面板主要材料之一，相對面板製程而言，其為後段製程，產能規劃也同樣有多廠區產能規劃問題。過去各公司負責產能規劃人員均依據經驗進行生產排程安排，因此無法進行多廠區產能總體規劃之最佳化。
本研究將建立一個解決多廠區生產規劃問題的產能規劃模式，用以求解偏光板產業的多廠區產能配置。模式中考量生產平衡與各廠區瓶頸資源最佳利用，其中成本因素考慮製造、運輸與重工成本，而訂單需求考慮淡季、旺季與區間訂單數量，以求解利潤最大化下之各廠區生產規劃，並將其資訊提供給業務人員接單與生管人員安排生產排程的建議。同時針對各個變數進行敏感度分析，找出各變數對於利潤的影響，本研究之結果可作為往後研究此產能規劃相關範疇研究之參考。

With the blooming growth of TFT-LCD industry, more and more extensive product application, and incentive and support provided by governments (Taiwan, Korea, Japan, and China), TFT-LCD panel manufacturers continue with factory construction and production capacity expansion in order to keep competence, downsize costs, enlarge profits, and close to the requirements from customers. As a result, production planning becomes a problem for those producers. Polarizer is one of the main components of TFT-LCD panels, produced in the back-end of the overall TFT-LCD manufacturing process, and the whole industry encounters the same production planning problem among multiple factories as well. In the past, production planners scheme out the production plans based on experience without taking the optimization of aggregate planning into account.
This thesis is establishing a production planning model to solve the multi-factory production allocation problem in polarizer industry. In the model, production balance and the bottlenecks of the resources in each factory are both taken into consideration. Among these, cost factor concerns manufacturing, transportation, and rework costs, and ordering demand concerns low season, high season, and ordering quantity. The primary purpose is to find a solution of production planning for each factory with the maximum profit, as well as providing adequate information to sales representatives and production planners for better order-taking and production planning. Meanwhile, sensitivity analysis is conducted against individual variable to determine the impact of the variables on profit. The conclusion of this research can be a reference to future study regarding production planning.

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