本研究之目的在於建構一套，當產品或製程的生產因素眾多且具多品質特性的狀況下，如何在眾多的生產因素中選擇關鍵因素並決定其生產最適因素組合的演算法。本演算法嘗試藉由「決策實驗室分析法」先於眾多的生產因素中決定出產品或製程中的生產關鍵因子（因素），接著，再透過「理想解類似度順序偏好法」、「模糊推論」與「田口方法」等方法，於具多品質特性要求之下，決策出產品或製程的最適因素與水準間之組合。本研究所提出之演算法能以合理客觀的方式挑選生產因素中較關鍵的生產因素，並能藉由「理想解類似度順序偏好法」與「模糊推論於田口方法上的應用」，提升田口最佳化實驗時的完整性並確認所挑選最佳化因素及水準的正確性。最後，本研究以產品編號：YJ1097鑄件的精密脫蠟鑄造製程為案例，進行本研究所建構演算法的實際案例之執行導入，並驗證本研究所提出演算法之可行與有效。

This study aims at constructing an algorithm, while the product/process is with multiple quality characteristics, which is to select critical factors and decide the optimal parameter allocations. The algorithm intends to figure out the key control factors of the product/process with multiple quality characteristics through Decision Making Trial and Evaluation Laboratory, and then to decide the optimal parameter allocations by Technique for Order Preference by Similarity to Ideal Solution, Fuzzy Inference, Taguchi Method, etc. Reasonably and subjectively, the algorithm presented by the current study selects the critical factors. In addition, through Technique for Order Preference by Similarity to Ideal Solution and applying Fuzzy Inference to Taguchi methods, the algorithm not only advances the completeness of the optimized Taguchi methods but certifies the accuracy of the selected optimized parameters. Finally, taking the manufacturing process of the precise investment casting of produce YJ1097 as an example, this study demonstrates the algorithm provided to be feasible and valid.