Translated Titles

Constructing an Algorithm for Selecting Critical Factors and Deciding Optimal Parameters in Taguchi Method on the Process with Multiple Quality Characteristics




盧昆宏(Kuen-Horng Lu);楊捷允(Jie-Yun Yang)

Key Words

田口方法 ; 決策實驗室分析法 ; 理想解類似度順序偏好法 ; 模糊推論 ; 脫蠟鑄造 ; Taguchi method ; DEMATEL (Decision Making Trial and Evaluation Laboratory) ; TOPSIS (Technique for Order Preference by Similarity to Ideal Solution) ; fuzzy inference ; investment casting



Volume or Term/Year and Month of Publication

20卷1期(2013 / 02 / 28)

Page #

63 - 89

Content Language


Chinese Abstract


English Abstract

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.

Topic Category 社會科學 > 管理學
  1. 翁義哲,2007,應用模糊語意於多目標數控車削之最佳化研究,大同大學機械工程研究所碩士論文,臺北,臺灣。
  2. Chang, K. H. and Cheng, C. H., 2011, Evaluating the risk of failure using the fuzzy OWA and DEMATEL method, Journal of Intelligent Manufacturing, 22(2), 113-129.
  3. Chen, C. Y., Liu, K. C., Chen, H. H., and Pan, L. K., 2010, Optimizing the TLD-100 readout system for various radiotherapy beam doses using the Taguchi methodology, Applied Radiation and Isotopes, 68(3), 481-488.
  4. Chen, J. K. and Chen, I. S., 2010, Using a novel conjunctive MCDM approach based on DEMATEL, fuzzy ANP, and TOPSIS as an innovation support system for Taiwanese higher education, Expert Systems with Applications, 37(3), 1981-1990.
  5. Doraid, D., 2009, A hybrid DEMATEL-TOPSIS multi-criteria decision making model, proceedings of the IEEE International Conference on Information Reuse & Integration, IRI ‘09, 428-430.
  6. Hwang, C. L. and Yoon, K., 1981, Multiple Attribute Decision Making -- Methods and Applications, A State-of-the-Art Survey, Springer-Verlag, New York.
  7. Jeang, A., Chung, C. P., Chen, C. W., and Li, H. C., 2009, Optimizing process parameters of hot-bar soldering process through quality function deployment and Taguchi method, Journal of Materials Processing Technology, 209(6), 2967-2977.
  8. Jeyapaul, R., Shahabudeen, P., and Krishnaiah, K., 2005, Quality management research by considering multi-response problems in the Taguchi method -- a review, The International Journal of Advanced Manufacturing Technology, 26(11-12), 1331-1337.
  9. Kuo, Y. Y., Yang, T. H., Cho, C. W., and Tseng, Y. C., 2008, Using simulation and multi-criteria methods toprovide robust solutions to dispatching problems in a flow shop with multiple processors, Mathematics and Computers in Simulation, 78(1), 40-56.
  10. Liao, H. C., 2003, Using PCR-TOPSIS to optimise Taguchi’s multi-response problem, The International Journal of Advanced Manufacturing Technology, 22(9-10), 649-655.
  11. Lin, C. J. and Wu, W. W., 2008, A causal analytical method for group decision-making under fuzzy environment, Expert System with Applications, 34(1), 205-213.
  12. Lin, J. L., Wang, K. S., Yan, B. H., and Tarng, Y. S., 2000, Optimization of the electrical discharge machining process based on the Taguchi method with fuzzy logics, Journal of Materials Processing Technology, 102(1-3), 48-55.
  13. Seyed-Hosseini, S. M., Safaei, N., and Asgharpour, M. J., 2006, Reprioritization of failures in a system failure mode and effects analysis by decision making trial and evaluation laboratory technique, Reliability Engineering and System Safety, 91(8), 872-881.
  14. Tarng, Y. S., Yang, W. H., and Juang S. C., 2000, The use of fuzzy logic in the Taguchi method for the optimization of the submerged arc welding process, International Journal of Advanced Manufacturing Technology, 16(9), 688-694.
  15. Tong, K. W., Kwong, C. K., and Ip, K. W., 2003, Optimization of process conditions for the transfer molding of electronic packages, Journal of Materials Processing Technology, 138, 361-365.
  16. Tong, L. I. and Su, C. T., 1997, Optimizing multi-response problems in the Taguchi method by fuzzy multiple attribute decision making, Quality and Reliability Engineering International, 13(1), 25-34.
  17. Tong, L. I., Wang, C. H., Chen, C. C., and Chen, C. T., 2004, Dynamic multiple responses by ideal solution analysis, European Journal of Operational Research, 156(2), 433-444.
  18. Tsaur, S. H., Chang, T. Y., and Yen, C. H., 2002, The evaluation of airline service quality by fuzzy MCDM, Tourism Management, 23(2), 107-115.
  19. Tzeng, G. H., Chiang, C. H., and Li, C. W., 2007, Evaluating intertwined effects in e-learning programs: a novelhybrid MCDM model based on factor analysis and DEMATEL, Expert Systems with Applications, 32(4), 1028-1044.
  20. 林江龍,1999,放電加工電極消耗可靠度與製程參數最佳化研究,國立中央大學機械工程研究所博士論文,桃園,臺灣。
  21. 紀岱玲,2006,供應商績效評估研究─結合ANP及DEMATEL之應用,國立政治大學資訊管理學系碩士論文,臺北,臺灣。
  22. 孫宗瀛、楊英魁,1999,FUZZY控制理論、實作與應用,全華科技圖書公司,臺北。
  23. 蔡宗倫,2009,整合模糊田口、TOPSIS與灰關聯分析於多重品質特性之參數最佳化,國立高雄大學亞太工商管理所碩士論文,高雄,臺灣。
Times Cited
  1. 駱景堯、林松農(2016)。精密塑膠射出成型製造系統整合與製程參數最佳化。品質學報,23(2),143-157。