本研究針對TFT-LCD面板業之多廠區中期產能規劃問題進行探討。基於下列三個原因,使得產能規劃在TFT-LCD產業變的格外重要:(1)複雜的產品階層結構造成了TFT-LCD面板可生產產品種類繁多且應用廣、(2)多階層、多世代與多廠區共存的生產鏈結構、(3)快速成長和變動的產品需求。 在TFT-LCD面板的製造中主要分成陣列製程(Array Process)、面板組立製程(Cell Process)與模組製程(Module Process),其中陣列製程因具有較長的生產前置時間、龐大的產能擴充成本以及冗長的購買/安裝前置時間等特性,使得陣列製程成為影響TFT-LCD面板製造產能的瓶頸製程。因此如何決定產能擴充時機點與產能分配決策,將是TFT-LCD面板業重要的議題。 為了表示各廠區之間的資訊傳遞具有模糊性,其產能規劃研究時都是採用模糊數學規劃來進行求解。然而一旦規劃對象具有階層性且每階層都具有獨立的決策過程與目標時,使用模糊數學規劃將無法求得最佳折衷解。因此本研究應用二階規劃(Bilevel Programming)將規劃對象分成高階層(存貨部門)與低階層(生產部門),並利用模糊方法來協調各階層之間的衝突,期望規劃出最適合的產能規劃決策。最後藉由實際案例來證明模糊二階規劃之可行性並且與模糊數學規劃進行比較,其結果顯示當生產環境具有階層特性時,模糊二階規劃在產能規劃績效指標上的表現確實比較優異。
In this paper, the strategic single-stage multi-plant capacity planning issues for TFT-LCD panel industry is discussed. The TFT-LCD panel manufacturing is divided into Array, Cell, and Module process. As the Array has long production lead time, huge capacity expansion costs, Array process becomes a bottleneck in the TFT-LCD manufacturing process. So how to determine the time point of capacity expansion and capacity allocation decisions will be an important issue. This paper uses bilevel programming to split this capacity problem into two levels (inventory and production), and applies fuzzy approach to solve it. Finally, through practical examples to demonstrate the feasibility of fuzzy bilevel programming, and compared with the fuzzy mathematical programming. The results show that when production environment have level characteristics, the capacity planning performance indicators of fuzzy bilevel programming is better.