應用統計方法找尋配方之研究

• Main Authors: 蔡淑茜, Tsai, Shu-Chien
• Language: 中文
• Published: 國立政治大學
• Subjects: 田口方法; 迴歸分析法; 品質機能展開; 最適配方; Taguchi Method; Regression Method; QFD (Quality Function Deployment); Optimal Setting Combination
• Online Access: http://thesis.lib.nccu.edu.tw/cgi-bin/cdrfb3/gsweb.cgi?o=dstdcdr&i=sid=%22A2002001356%22.

本研究嚐試找出果凍的最適配方，利用品質機能展開將顧客需求和技術項目結合，找出顧客所重視的技術項目，再依此規劃實驗收集資料。以田口方法和迴歸分析法對數據分析，以提出最適配方。 利用田口方法和迴歸分析法兩種方法找尋最適配方，發現依照不同品質特性所找出的最適配方結果是不相同的，而同時考慮兩種品質特性整體損失函數所找出的最適配方，才能使整體期望損失估計值最小（小於兩個品質特性各別所找出最適配方期望損失估計值的加總）。 由於產品時常有多個品質特性，建議找最適配方時，能同時考量各品質特性的總損失，唯有如此才能找到真正使損失最低的最適生產組合。 === The research goal is to try to find optimal setting combination of one product. We take advantage of QFD (Quality Function Deployment) method to combine the needs of customers and producing technologies; by this, we can tell which technologies are more important for customers’needs. After knowing which technologies are important, we could order an experiment to collect raw data. Using Taguchi Method and Regression Analysis Method to analyze the raw data, we can extract optimal solutions. We found that we could get different optimal solution by different character of a product. Therefore, only considering all characters of a product at the same time, we can get the really optimal setting combination; or we just could get sub optimal setting combinations.