Application of 6-Sigma Methodology to Improve Process Capability of Multiple Characteristics of Fireproof Resin Products
Publication: Practice Periodical of Hazardous, Toxic, and Radioactive Waste Management
Volume 13, Issue 2
Abstract
The phenolic resin, which is an environmentally friendly and economically beneficial material, has been widely applied as various building materials and veneers. To assure that a phenolic resin product meets specifications, the upper and lower limits of the specifications and relevant processing capability indices are first defined in this paper for five “the-larger-the-better” and four “the-smaller-the-better” resins products. A better and more versatile model for evaluating the whole capability for processing the products with multiple-quality characteristics is proposed based on the concept of 6-sigma standard deviations and control chart. Applying this model will assist in discovering insufficient or excessive production capability and quality characteristics such that quality control engineers may prioritize the process improvements based on the control boundary and related position of processing capability coordinates. This will bring about the most efficient improvement and a rapid elevation of the whole production capability with limited resources. Using this model to continually evaluate, analyze, and improve the process, the quality of the phenolic product will be made flawless.
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Acknowledgments
This project was funded in part by National Science Council in Taiwan. Additional thanks to OPIMA Corporation, Taiwan for assistance and support throughout this project.
References
Boyles, R. A. (1991a). “Process capability with asymmetric tolerances.” Commun. Stat.-Simul. Comput., 23(3), 615–643.
Boyles, R. A. (1991b). “The Taguchi capability index.” J. Quality Technol., 23(1), 17–26.
Boyles, R. A. (1996). “Multivariate process analysis with lattice data.” Technometrics, 38(1), 37–49.
Chan, L. K., Cheng, S. W., and Spiring, F. A. (1988). “A new measure of process capability: .” J. Quality Technol., 20(3), 162–175.
Chen, K. S., Chen, H. T., and Tong, L. I. (2002a). “Performance assessment of processing and delivery times for very large scale integration using process capability indices.” Int. J. Adv. Manuf. Technol., 20(7), 526–531.
Chen, K. S., Chen, S. C., and Li, R. K. (2002b). “Process quality analysis of products.” Int. J. Adv. Manuf. Technol., 19(8), 623–628.
Chen, K. S., Huang, M. L., and Li, R. K. (2001). “Process capability analysis for an entire product.” Int. J. Prod. Res., 39(17), 4077–4087.
Chen, K. S., and Pearn, W. L. (2001). “Capability indices for processes with asymmetric tolerances.” J. Chin. Inst. Electr. Eng., 24(5), 559–568.
Chen, K. S., Sung, W. P. and Tsai, Y. I. (2002c). “The evaluation for the performance of supplier.” Int. J. Agile Manufact., 5(1), 9–15.
Cheng, S. W. (1992). “Is the process capable? Tables and graphs in assessing .” Qual. Eng., 4(4), 563–576.
Cheng, S. W. (1994–1995 ). “Practical implementation of the process capability indices.” Qual. Eng., 7(2), 239–259.
Huang, J. M., and Chen, K. S. (2004) “An algorithm of performance evaluation for mould development.” Prod. Plan. Control, 15(1), 55–62.
Huang, M.-L., Chen, K. S., and Hung, Y. H. (2002). “Integrated process capability analysis with an application in backlight.” Microelectron. Reliab., 42(12), 2009–2014.
Kane, V. E. (1986) “Process capability indices.” J. Quality Technol., 18(1), 41–52.
Pearn, W. L., and Chen, K. S. (1997) “Multi-process performance analysis: A case study.” Qual. Eng., 10(1), 1–8.
Pearn, W. L., and Chen, K. S. (2002). “One-sided capability indices Cpu and Cpl: Decision making with sample information.” Int. J. Qual. Reliab. Manage., 19(3), 221–245.
Pearn, W. L., Kotz, S., and Johnson, N. L. (1992). “Distributional and inferential properties of process capability indices.” J. Quality Technol., 24(2), 216–231.
Pearn, W. L., Lin, G. H., and Chen, K. S. (1998). “Distributional and inferential properties of the process accuracy and process precision indices.” Commun. Stat: Theory Meth., 27(4), 985–1000.
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© 2009 ASCE.
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Received: Jul 4, 2008
Accepted: Oct 9, 2008
Published online: Apr 1, 2009
Published in print: Apr 2009
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