台灣紡織屬於以出口為導向的產業，在台灣發展已有七十餘年，主要生產順序為纖維(Fiber Production)、紡紗(Yarn Spinning)、織布(Weaving)、染整(Dyeing)及成衣(Clothing)等階段。而該產業須因應顧客需求進行設計及製造，屬於接單式生產(Make-to-Order, MTO)，因此有材質、經緯紗條數、纖維長度、顏色等條件要求。在各個生產流程也有不同的計量單位、不同的生產規劃。近年來，在環境競爭與國際壓力下，接單式生產的模式已逐漸轉變為樣多量少、小批量、交期短、產品規格多變的生產環境，業者要在競爭的市場環境中脫穎而出，須在縮短生產週期時間、降低在製品庫存水準與提高達交率的策略下並行，而小批量的生產方式在規模較大的產業對於庫存的控制和生產計畫的制訂上，為一重要的管理挑戰。
本研究藉由田口實驗設計法之穩健設計概念，針對紡織廠織布製程的高存貨問題進行改善，以L_9直交表配置，並藉由田口方法中的望小特性進行分析，找出最小化平均存貨量的最佳組合因子，再與反應曲面法(Response Surface Methodology, RSM)中，常用來配適二階模式的中央合成設計(Central Composite Design, CCD)所求得的最佳化結果相比，並將最終結果分別代入用紗試算表系統以確認實驗。
最後透過實驗結果顯示，在需求碼數為5千至1萬碼的情況下，田口方法與RSM設計所預估的最佳組合因子皆相同，皆為紗粒重量1.1 Kg、單軸條數857、丹尼數90，其存貨量平均為4486碼，相較於現況，減少29%；需求量為1萬至2萬碼的最佳參數則是由RSM求得最佳，為紗重量1.1Kg、單軸條數857、丹尼數90組成，存貨為1040碼，改善46%的效益；最後則是碼數為2萬至3萬碼的需求量，最佳因子組合同樣由RSM求得最佳為紗重量1.2 Kg、單軸條數863、丹尼數75，其存貨改善效益為71%。

Textile industry is an export-oriented industry that has been developed in Taiwan for over 70 years. The main production sequence is fiber, spinning, weaving, dyeing and finishing, and garment production. The industry has to design and manufacture according to the customer's demand, and it is an order-based production, so there are requirements for material, warp and weft yarn, fiber length, color, and other conditions. There are also different measurement units and different production plans for each production process. In recent years, under the competitive environment and international pressure, the production mode of order production has gradually changed to a production environment with high sample size, low batch, short delivery time, and changing product specifications. The small batch production method is an important management challenge for larger industries in terms of inventory control and production planning.
In this study, an experimental design approach is used to analyze different demand scenarios and propose an appropriate decision model as a benchmark for capacity planning to assist production management to properly control inventory and keep it at a reasonable economic level to achieve the goal of minimizing inventory, further reducing the operating time of personnel and machines, minimizing unnecessary actions and production waste, and thus avoiding overproduction. After analyzing and comparing the results of different demand situations, the best combination of factors using the Response Surface Methodology (RSM) design method for scenario two can minimize the inventory volume and achieve good performance in terms of performance indicators. Therefore, if the process parameters can be adjusted appropriately to meet the demand, and if the process can be improved by multiple rounds, it will improve the high inventory problem in the textile industry under the low volume and diversified production mode, and further improve the production efficiency and reduce the production cost.
Finally, continuous improvement is the only way to maximize the effectiveness of the whole enterprise and maintain a higher competitiveness.

2021年台灣紡織工業概況，台灣紡拓會官網，Available: https://www.textiles.org.tw/TTF/main/home/Home.aspx (取得日期: 2022年11月10日)
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