TFT-LCD產業由於生產前置時間冗長，製程繁瑣複雜，分為列陣(Array)、組立(Cell)與模組(Module)三製程段且分別在不同廠區進行生產，再加上玻璃基板世代數的不斷提升造成廠區的日益擴增，使得整個TFT-LCD產業形成一條錯綜複雜的生產鏈。由於顧客對於最終的面板會指定用料與指定等級，所以該生產鏈後段的模組製程採取接單後生產(Make-to-Stock, MTO)，接到顧客訂單之後再透過運輸從組立廠內拉進半成品面板進行物料的組裝，以完成TFT-LCD面板。
TFT-LCD面板由於製程品質的影響，在完成組立製程後便產生了等級上的區分，緊接著在模組製程與不同的物料進行搭配，可能會發生升等或者降等級的等級轉換現象；然顧客下單是指定最終產品的物料組合與成品等級，使得計算顧客訂單的允諾量時，無法以傳統MRP邏輯進行物料的展開與試算，經常發生訂單允諾後卻無法達交，或者為了滿足已經承諾的訂單而產生大量的成品庫存。
因此本研究提出訂單允諾結合模組廠多廠區生產規劃的訂單滿足流程，發展一數學規劃模式，同步考量可允諾量計算與模組生產計畫，直接以顧客的詢問性訂單進行模組廠多廠區的生產試規劃，讓生產規劃與允諾量可以同步計算，產生可行的生產計畫與各詢問性訂單的滿足狀況，並以規劃結果回覆顧客可以允交的產品數量。此外，本研究提出之模式對於已經允諾的允諾量採可以重新分配(Re-allocation)的方式，將有助於企業將資源做更有效率的利用。
最後，設計兩種不同物料供給情境，在不同的訂單收集區間內，比較「可允許已允諾量重新分配」與「不允許已允諾量重新分配」的不同可允諾量計算方式的實驗分析，實驗結果證明可允許已允諾量重新分配的計算方式在各項績效指標上的表現上均較佳，證明的確可以將資源做更有效的利用，但程式執行時間卻高出許多，在資料量很大的狀況下，可能造成求解時間過長的困擾。

Due to technology changes, the demands in the consumer electronics industry keep expanding, particularly in the Thin Film Transistor Liquid Crystal Display (TFT-LCD) panel industry. A firm may own several parallel production lines in different areas, where lines can not completely backup each other due to different technology levels. The manufacturing processes of TFT-LCD can be divided into three stages Array, Cell and Module. The production in Array and Cell is triggered by pre-defined production schedule because of their complicated production steps and long production lead time. Module begins to assemble panel and other components according to actual orders (assembly-to-order, ATO). In addition, we consider the transportation between different production stages because Module factories are usually built in areas with lower labor cost.
The order fulfillment and available-to-promise (ATP) problems in TFT-LCD manufacturing are more complicated than other industries because of “alternative Bill of Material (BOM)” and “grade transformation” of final products. Alternative BOM means that one product may have several BOMs due to different raw materials from suppliers. Grade transformation causes the upgrade or downgrade of final products because of the alternative BOMs or different process capability.
In this paper, a mixed integer linear programming model is developed for order fulfillment and ATP problems. This model considers customized BOMs, grades, and other realistic constrains. We conclude this paper with sensitivity analysis and the performance impacts of different ATP rules.

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