Robust Design of Mixing Static and Dynamic Multiple Quality Characteristics

Ful-Chiang Wu

Department of Hotel Management, Vanung University, Chung-Li, Tao-Yuan, Taiwan, China.

DOI: 10.4236/wjet.2015.33C011                

Abstract

Increased market competition means that quality, cost and delivery time are crucial elements of modern production techniques. Taguchi’s robust design is the most powerful method available for reducing product cost, improving quality, and simultaneously reducing development time. Robust design aims to reduce the impact of noise on the product or process quality and leads to greater customer satisfaction and higher operational performance. The objective of robust design is to minimize the total quality loss in products or processes. The PQL model proposed by this paper simultaneously optimizes the static and dynamic problems by minimizing the total quality loss. Using the proposed PQL model and steps for optimization, the method addresses complex parameter design, which varies with the properties and objectives of the experimental data, to improve the product quality. The example of an electron beam surface hardening process is provided to demonstrate the implementation and usefulness of the proposed method.

Keywords

Robust Design, Quality Characteristic, Quality Loss Function, SN Ratio, PQL

Conflicts of Interest

The authors declare no conflicts of interest.

References

[1]	Taguchi, G. (1991) System of Experimental Design: Vol. 1 and Vol. 2. American Suppliers Institute, Dear-born.
[2]	Derringer, G. and Suich, R. (1980) Simultaneous Optimization of Several Response Variables. Journal of Quality Technology, 12, 214-219.
[3]	Elsayed, E.A. and Chen, A. (1993) Optimal Levels of Process Parameters for Products with Multiple Characteristics. International Journal of Production Research, 31, 1117-1132. http://dx.doi.org/10.1080/00207549308956778
[4]	Khuri, A.I. and Conlon, M. (1981) Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression Functions. Technometrics, 23, 363-375. http://dx.doi.org/10.2307/1268226
[5]	Jean, M.D. and Tzeng, Y.F. (2003) Use of Taguchi Methods and Multiple Regression Analysis for Optimal Process Development of High Energy Electron Beam Case Hardening of Cast Iron. Surface Engineering, 19, 150-156. http://dx.doi.org/10.1179/026708403225002496
[6]	Jean, M.D. and Tzeng, Y.F. (2004) Optimisation of Elec-tron-beam Surface Hardening of Cast Iron for High Wear Resistance Using Taguchi Method. International Journal of Advanced Manufacturing Technology, 24, 190-198. http://dx.doi.org/10.1007/s00170-002-1481-1
[7]	Lesperance, M.L. and Park, S.M. (2003) GLMs for the Analysis of Robust Designs with Dynamic Characteristics. Journal of Quality Technology, 35, 253-263.
[8]	Nair, V.N., Taam, W. and Ye, K.Q. (2002) Analysis of Functional Responses from Robust Design Studies. Journal of Quality Technology, 34, 355-370.
[9]	Wu, F.-C. (2007) Sequential Optimization of Parameter and Tolerance Design for Multiple Dynamic Quality Characteristics. International Journal of Production Research, 45, 2939-2954. http://dx.doi.org/10.1080/00207540600690719
[10]	Jean, M.D. and Tzeng, Y.F. (2003) Robust Design of Electron Beam Surface Hardening Process Using Taguchi Dynamic Experiment. Journal of Materials Science and Engineering, 35, 207-216.
[11]	Jean, M.D. (2004) Characteristic Optimisation of Dynamic Process Parameters in Rapid Solidified Treatment. Science and Technology of Welding and Joining, 9, 221-228. http://dx.doi.org/10.1179/136217104225012193