本課程首先介紹 各種常採用的設計方法與決策手段，並輔以實例說明，最終提出多項產業案例，進行討論與決策的開發。內容包括：
1. 介紹工業設計方法論。
2. 多準則決策理論與設計方法應用(Multi-criteria decision making)。
3. 階層分析法 (Analytic Hierarchy Process)。
4. 灰色系統中灰預測與灰關聯方法(Grey Theory)
6. 品質機能展開 (Quality Function Deployment)。
7. 破壞模式與失效分析(Failure Mode and Effect Analysis)。
8. 計畫評核術(PERT)。
9. TRIZ與創新設計法則。
10. 模糊與類神經網路應用。
11. 實驗設計法(Taguchi method) (Design of Experiment)。
12. 逆向設計與快速原型產品開發。

This course first introduces various commonly used design methods and decision-making methods, and explains them with practical examples. Finally, multiple industry cases are proposed to discuss and develop decisions. Contents include:
1. Introduction to industrial design methods.
2. Multi-criteria decision making theory and design method application (Multi-criteria decision making).
3. Analytic Hierarchy Process.
4. Grey Theory method for grey prediction and grey correlation in grey system (Grey Theory)
6. Quality Function Deployment.
7. Failure Mode and Effect Analysis.
8. Philosophy Review (PERT).
9. TRIZ and innovative design methods.
10. Fuzzy and Neural Network Applications.
11. Experiment design method (Taguchi method) (Design of Experiment).
12. Reverse design and rapid prototyping product development.

1. Kai Yang and Basem S EI-Haik, Design for Six Sigma: A Roadmap for Product Development, 2nd Eds, McGraw-Hill, 2009.
2. Ali, K. Kamrani, Saed M. Salhieh, Product Design for Modularity, Kluwer Academic Publisher, 2002.
3. 李允中、王小蟠、蘇木春，模糊理論及其應用，全華，2003.
4. 蘇木春、張孝德，機器學習、類神經網路、模糊系統以及基因演算法則，全華，2000.
5. Chapman, S.J., Matlab Programming for Engineers, Thomson, 2008.

1. Kai Yang and Basem S EI-Haik, Design for Six Sigma: A Roadmap for Product Development, 2nd Eds, McGraw-Hill, 2009.
2. Ali, K. Kamrani, Saed M. Salhieh, Product Design for Modularity, Kluwer Academic Publisher, 2002.
3. Li Yunzhong, Wang Xiaopan, Su Muchun, Fuzzy Theory and Application, Quanhua, 2003.
4. Su Muchun, Zhang Xiaode, machine learning, category neural network, fuzzy systems and gene algorithms, All Hua, 2000.
5. Chapman, S.J., Matlab Programming for Engineers, Thomson, 2008.