近年來在台灣政府大力栽培下，使得台灣TFT-LCD（Thin Film Transistor Liquid Crystal Display）產業蓬勃發展，這些高科技產業雖為台灣經濟之命脈，但因為顧客端需求波動大且需求不易預測，使用傳統推式生產容易造成大量的在製品（Work-in-process，WIP）與完成品庫存堆積，因此需要不同於以往多量少樣的生產方式。
本研究針對TFT-LCD廠後段製程，在需求不確定的情況下，提出結合超級市場（Supermarket）與CONWIP（Constant Work-in-process）之精實拉式生產策略，藉由田口方法結合理想解類似度順序偏好法（Technique for Order Preference by Similarity to Ideal Solution，TOPSIS）求解最佳生產控制策略方案，用以改善製程中WIP過多導致的浪費，並且以生產週期時間（Cycle Time）與WIP來顯示出浪費的改善。
本篇論文同時提出結合精實拉式概念與價值流圖（Value Stream Map，VSM）之指導程序，此程序從定義產品價值開始，經由現況價值流圖的繪製找出浪費所在，以此為改善的契機並繪製未來理想狀態價值流圖作為改善方案的依據。
最後，導入精實拉式策略至一個實際的案例，經結果比較與分析發現，現況圖與未來圖在產出不變的情況下，系統的平均Cycle Time預期可以從8.80天縮減至4.82天，改善了45.20%。系統的平均WIP從50,342片縮減為25,795片，改善了48.76%。由此可知，藉由導入精實拉式策略來控制系統內的WIP水準，可有效改善系統中的浪費。

Tendencies in today’s competitive high-technology environment, especially thin film transistor liquid crystal display (TFT-LCD) industry, it is difficult to forecast the customer’s demand and setup a production planning under lower work-in-process (WIP), shorter cycle time, and higher throughput requirement. This paper proposes a lean pull strategy, combining supermarket with constant work-in-process (CONWIP), which is applying value stream mapping methodoloty in a TFT-LCD manufacturing case study under demand uncertainty. The proposed multiple criteria decision-making (MCDM) method by using hybrid Taguchi and technique for order preference by similarity to ideal solution (TOPSIS) method to find the best scenario of production control policy to remove the waste of WIP and improve cycle time, simultaneously. In order to link the visualizing material and information flow in the whole picture, value stream mapping and Rother’s 7 guiding principles procedure also applying to the lean pull strategy, then to find optimum result from alternative scenarios were enhanced by simulation. Finally, a real-world TFT-LCD case study is used to demonstrate and test findings. After comparing current-state map and future-state map of the case study, the simulation results indicated that the average cycle time reduced from 8.80 days to 4.82 days as well as the WIP could be reduced from 50,342 panels to 25,795 panels without any loss of throughput.

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