Integrating the taguchi method and response surface methodology for process parameter optimization of the injection molding

Applied Mathematics and Information Sciences

Volumn 8, Issue 3, 2014, Pages 1277-1285

  Jou, Yung Tsan ^a   Lin, Wen Tsann ^b   Lee, Wei Cheng ^a   Yeh, Tsu Ming ^c  

^a CHUNG YUAN CHRISTIAN UNIVERSITY   (Taiwan)

^b NATIONAL CHIN YI UNIVERSITY OF TECHNOLOGY   (Taiwan)

^c DA YEH UNIVERSITY   (Taiwan)

Author keywords

Parameter optimization; Response surface methodology; Taguchi method

Indexed keywords

EID: 84893051034     PISSN: 19350090     EISSN: 23250399     Source Type: Journal    
DOI: 10.12785/amis/080342     Document Type: Article

References (26)

1. TIA Standard, Standard for Optical Fiber Outside Plant Communications Cable, Telecommunications industry association, TIA-472D000-B, (2007).
2. W. P. Wang, Evaluating new product development performance by fuzzy linguistic computing, Expert Systems with Applications, 36, 9759-9766 (2009).
3. C. T. Su, C. J. Yeh, Optimization of the Cu wire bonding process for IC assembly using Taguchi Methods, Microelectronics Reliability, 51, 53-59 (2011).
4. K. S. Yoo, Y. S. Eom, J. Y. Park, M. G. Im, S. Y. Han, Reliability-based topology optimization using successive standard response surface method, Finite Elements in Analysis and Design, 47, 843-849 (2011).
5. Y. Wang, C. Huang, T. Xu, Optimization of electrodialysis with bipolar membranes by using response surface nethodology, Journal of Membrane Science, 362, 249-254 (2010).
6. S. Neşeli, S. Yaldiz, E. Türkeş, Optimization of tool geometry parameters for turning operations based on the response surface methodology, Measurement, 44, 580-587 (2011).
7. G. Box, D. Behnken, Some new three level designs for the study of quantitative variables, Technometrics, 2, 455-475 (1960).
8. G. Taguchi, S. Chowdhury, Y. Wu, Taguchi's Quality Engineering Handbook, John Wiley & Sons, (2004).
9. Z. J. Zhang, J. C. Chen, E. D. Kirby, Surface roughness optimization in an end-milling operation using the Taguchi design method, Journal of Materials Processing Technology, 184, 233-239 (2007).
10. C. T. Su, C. M. Lin, C. C. Hsu, Optimization of the optical whiteness ratio for flexible display by using Taguchi's dynamic approach, IEEE Transactions on semiconductor manufacturing, 25, 2-15 (2012).
11. C.W. Hong, Using the Taguchi Method for effective market segmentation, Expert Systems with Applications, 39, 5451-5459 (2012).
12. H. J. Celani de Souza, C. B. Moyses, F. J. Pontes, R. N. Duarte, C.E. Sanches da Silva, F. L. Alberto, U. R. Ferreira, M. B. Silva, Molecular assay optimized by Taguchi experimental design method for venous thromboembolism investigation, Molecular and Cellular Probes, 25, 231-237 (2011).
13. C. T. Su, C. J. Chou, A systematic methodology for the creation of Six Sigma projects: A case study of semiconductor foundry, Expert Systems with Applications, 34, 2693-2703 (2008).
14. D. C. Montgomery, H. M. Raymond, Response Surface Methodology: Process and Product Optimization Using Designed Experiments, John Wiley, New York, (2002).
15. L. Deng, C. S. Cai, BridgeModel Updating Using Response Surface Method and GA, Journal of Bridge Engineering, 15, 553-564 (2010).
16. A. Bappa, S. K. Arunanshu, M. Souren, M. Dipten, Modeling and analysis of simultaneous laser transmission welding of polycarbonates using an FEMand RSMcombined approach, Optics & Laser Technology, 44, 995-1006 (2012).
17. R. Paventhan, P. R. Lakshminarayanan, V. Balasubramanian, Prediction and optimization of friction welding parameters for joining aluminum alloy and stainless steel, Transactions of Nonferrous Metals Society of China, 21, 1480-1485 (2011).
18. T. V. Rajamurugan, K. Shanmugam, S. Rajakumar, K. Palanikumar, Modelling and analysis of thrust force in drilling of GFRP Composites using Response Surface Methodology (RSM), Procedia Engineering, 38, 3757-3768. (2012).
19. D. C. Montgomery, Design and Analysis of Experiments, 7thed., John Wiley & Sons, New York, (2009).
20. G. E. P. Box, K. B.Wilson, On the Experimental Attainment of Optimum Condition, Journal of the Royal Statistic Society, 13, 1-45 (1951).
21. H. H. Lee, Quality Management, Tsang Hai Book Publishing Co., Taipei., (2009).
22. S. H. Sheu, The Management and Control of Quality, Future Career Publishing Corporation, Taipei., (2007).
23. S. F. Yang, Quality Management, Hwa Tai Publishing Co., Taipei., (2006).
24. F. L. Chen, T. Y. Ou, Sales forecasting system based on Gray extreme learning machine with TaguchiMethod in retail industry, Expert Systems with Applications, 38, 1336-1345. (2011).
25. S. H. Hsiang, Y. W. Lin, Optimization of the extrusion process for magnesium alloy sheets using the fuzzy based Taguchi Method, The Arabian Journal for Science and Engineering, 34, 175-185. (2009).
26. G. E. P. Box, J. S. Hunter, W. G. Hunter, Statistics for Experimenters: An Introduction to Design, Data Analysis, and Model Building, 2nded, John Wiley and Sons., New York, (2010)