本文為改良式之材料選擇與製造程序規劃之系統，並且將此系統命名為Fuzzy邏輯與群組技術應用於材料與製造推論引擎（Fuzzy Logic and Group Technology Application to Materials and Manufacturing Inference Engine），本系統主要應用群組技術(Group Technology , GT)，改良材料推論引擎，並且使用Fuzzy Logic進行選擇材料的優劣排序。系統內之材料價格也能做即時的更新。資訊的傳遞可經由XML檔案傳輸機制匯入資料至本系統，經由本系統推論後，參考答案由XML傳輸機制匯出至原伺服系統。因此，本系統不只可獨立運作，更可連結其他系統或工程代理人。最後，再以一個系統零件做為本系統實際應用的測試，結果顯示本系統能順利執行產品之材料選擇與製程規劃。

This system is chosen in order to extend Materials and Manufacturing Inference Engine and Materials and Fuzzy Logic and Group Technology Application to Manufacturing Inference Engine was proposed in this thesis. This system mainly use the Group Technology , improve the material inference engine, and use the Fuzzy Logic to quality that carry on the material to arrange in an order. The material cost can be made too the renewal immediately. And this system can be inward data by XML format, after this automatic inference of system via XML file , consult the answer and remit from XML to the original servo system. Moreover, this system not only can operate independently but also link other system or engineering agent. Finally, the result of the test shows that this system can perform a planning of product manufacturing successfully.

【1】邱協政，材料與製造推論引擎之研究，國立台灣科技大學碩士論文，民國94。
【2】余亮，模糊與TRIZ理論應用在CMP問題與決策系統之研究，國立台灣科技大學碩士論文，民國94。
【3】Huub Scholten , Adrie J.M. Beulens , “Ontologies to structure models and modeling tasks” , 16th JISR-IIASA Workshop(2002) 1-3.
【4】John L. Burbidge , “The first step in planning group technology” , International Journal of Production Economics (1996) 261-266.
【5】吳社邦編著，群組技術手冊:CS-1分類與編號系統，中興管理顧問公司，民國74。
【6】孫葆銓，孫學文編譯，群組技術與工程工業，徐氏基金會，民國77。
【7】李允中等編著，模糊理論及其應用，全華科技圖書股份有限公司，民國92。
【8】Savransky , Semyon D. , Engineering of creativity：introduction to TRIZ methodology of inventive problem solving , CRC Press LCC ,（2000）
【9】尤文祥，應用模糊層級分析法在提升公共工程品質之研究，私立中華大學碩士論文，民國93年。
【10】陳煥卿，模糊控制應用於冷卻系統節能之研究與設計，私立大葉大學碩士論文，民國93年。
【11】L. A. Zadeh , Fuzzy sets , Information and Control ,（1965）
【12】Serope Kalpkjian , Steven R. Schmid , “Manufacturing Engineering and Technology” , Prentice Hall , 2001.
【13】Earl R. Parker , “Materials Data Book for Engineers and Scientists” , 1976.
【14】J. Brandrup , E.H. Immergut , “Polymer Handbook” , John Wiley & Sons , 1975.
【15】日本規格協會編著，JIS HANDBOOK 1989-90 Ferrous Materials and Metallurgy，天工書局，民國78。
【16】 Machinability Data Center , “Machining Data HandBook” , Metcut Research Associate , 1980.
【17】Taylor Lyman , “Metals HandBook Vol.3: Machining” , American Society for Metals , 1967.
【18】A. Gayretli , BSc. , MSc. , H.S. Abdalla , BEng. , MSc. , PhD , “A feature-based prototype system for the evaluation and optimisation of manufacturing processes” , Computers & Industrial Engineering 37 (1999) 481-484.
【19】梁文炫，模具研磨工時預估，逢甲大學，民國89。
【20】張郭益編著，精密量具及機件檢驗，滄海書局，民國75。
【21】Yupu Yang , “Design neural networks based fuzzy logic” , Fuzzy Sets Systems , Vol. 114 （2000）pp. 325-328
【22】B. Lin , M.Z.Zhu , H.T.Zhu and M.X.Lin , “Study of synthesis idetificalion in the cutting processs with a fuzzy neural network” , Journal of Materials Processing Technology , Vol. 129 （2002）pp. 131-134
【23】U. Rajendra Acharya , P.Subbanna Bhat , S.S.Iyengar ,Sumeet Dua and Ashok Rao , “Classification of heart rate data using artificial neural network and fuzzy equivalence relation” , Pattern Recognition , Vol. 36 （2003）pp. 61-68
【24】Aminah Abdullah , “ Optimization of reduced calorie tropical mixed fruits jam” , Food Quality and Preference
【25】K. Hashmi , I. D. Graham and B. Mills , “Fuzzy logic based data selection for the drilling process” , Journal of Materials Processing Technology , Vol. 108 （2000）pp. 55-61
【26】K. Hashmi , I. D. Graham , B. Mills , M. S. J. Hashmi , “Adjustment approach for fuzzy logic model based selection of non-overlapping machining data in the turning operation”, Journal of Materials Processing Technology , Vol. 142 （2003）pp. 152-162
【27】K. Hashmi , M. A. El Baradie , M. Ryan , “ Fuzzy logic based intelligent selection of machining parameters” , Computers ind. Engng , Vol. 35 , Nos. 3-4 ,（1982）pp. 571-574
【28】K. Hashmi , I. D. Graham and B. Mills , “Data selection for turning carbon steel using a fuzzy logic approach” , Journal of Materials Processing Technology , Vol. 135 （2003）pp. 44-58