Robust optimisation for simultaneous process mean, process tolerance and product specification determination

References

• Agyapong-Kodua, K., R. Brown, R. Darlington, and S. Ratchev. 2012. “An Integrated Product–Process Design Methodology for Cost-Effective Product Realization.” International Journal of Computer Integrated Manufacturing 25 (9): 814–828.
   Web of Science ®Google Scholar
• Aroral, J. S. 1989. Introduction to Optimum Design. New York: McGraw-Hill.
   Google Scholar
• Brooke, A., D. Kendrick, A. Meeraus, and R. Raman. 1998. GAMS: A User’s Guide. Washington, DC: GAMS Development Corporation.
   Google Scholar
• Douthwaite, W. A. 2006. Contact Lens Optics and Lens Design. 3rd ed. London: Elsevier Butterworth Heinemann.
   Google Scholar
• Gijo, E. V., and J. Scaria. 2012. “Product Design By Application of Taguchi’s Robust Engineering Using Computer Simulation.” International Journal of Computer Integrated Manufacturing 25 (9): 761–773.
   Web of Science ®Google Scholar
• Hamou, S., A. Cheikh, J. M. Linares, and A. C. Daho. 2006. “A Stochastic Concept for the Optimization of Manufacturing Tolerances in Computer-Aided Process Plan Simulation.” International Journal of Computer Integrated Manufacturing 19 (7): 663–675.
   Web of Science ®Google Scholar
• Jeang, A. 1999a. “Robust Tolerance Design By Response Surface Methodology.” International Journal of Advanced Manufacturing Technology 15 (6): 399–403.
   Web of Science ®Google Scholar
• Jeang, A. 1999b. “Optimal Process Parameters Determination for Computer-Aided.” Manufacturing Quality and Reliability Engineering International 15 (1): 3–16.
   Web of Science ®Google Scholar
• Jeang, A. 2001. “Computer-Aided Tolerance Synthesis Via Computer Simulation and Statistical Optimization.” Quality and Reliability Engineering International 17 (2): 131–139.
   Web of Science ®Google Scholar
• Jeang, A. 2003. “Robust Computer-Aided Parameter and Tolerance Determination for an Electronic Circuit Design.” International Journal of Production Research 41 (5): 883–895.
   Web of Science ®Google Scholar
• Jeang, A. 2008. “Combined Parameter and Tolerance Design for Quality Via Computer Experiment: A Design for Thermo-Electric Micro-Actuator.” IEEE Transactions on Electronics Packaging Manufacturing 31 (3): 192–201.
   Web of Science ®Google Scholar
• Jeang, A. 2011. “Robust Cutting Parameters Optimization for Production Time Via computer Experiment.” Applied Mathematical Modeling 35 (3): 1354–1362.
   Web of Science ®Google Scholar
• Jeang, A., and C. L. Chang. 2002. “Concurrent Optimization of Parameter and Tolerance Design Via Computer Simulation and Statistical Method.” International Journal of Advanced Manufacturing Technology 19 (6): 432–441.
   Web of Science ®Google Scholar
• Jeang, A., and C. P. Chung. 2008. “Process Mean, Process Tolerance, and Use Time Determination for Product Life Application under Deteriorating Process.” International Journal of Advanced Manufacturing Technology 36: 97–113.
   Web of Science ®Google Scholar
• Jeang, A., H. C. Li, and Y. C. Wang. 2010. “A Computational Simulation Approach for Optimizing Process Parameters in Cutting Operations.” International Journal of Computer Integrated Manufacturing 23 (4): 325–340.
   Web of Science ®Google Scholar
• Jeang, A., F. Liang, and C. P. Chung. 2008. “Robust Product Development for Multiple Quality Characteristics Using Computer Experiments and an Optimization Technique.” International Journal of Production Research 46 (12): 3415–3439.
   Web of Science ®Google Scholar
• Jeang, A., and E. Liu. 1999. “Robust Tolerance Design By Computer Experiment.” International Journal of Production Research 37 (9): 1949–1961.
   Web of Science ®Google Scholar
• Kodua, K. A., R. Brown, R. Darlington, and S. Ratchev. 2012. “An Integrated Product-Process Design Methodology for Cost-Effective Product Realization.” International Journal of Computer Integrated Manufacturing 25 (9): 814–828.
   Web of Science ®Google Scholar
• Lin, B. T., M. D. Jean, and J. H. Chou. 2007. “Using Response Surface Methodology with Response Transformation in Optimizing Plasma Spraying Coatings.” International Journal of Advanced Manufacturing Technology 34 (3–4): 307–315.
   Web of Science ®Google Scholar
• Montgomery, D. C. 1991. Design and Analysis of Experiments. 3rd ed. New York: John Wiley.
   Google Scholar
• Myers, R. H., and D. C. Montgomery. 1995. Response Surface Methodology-Process and Product Optimization Using Robust Design, 318–321. New York: Wiley Series in Probability and Statistics, Wiley.
   Google Scholar
• Phadke, M. S. 1989. Quality Engineering Using Robust Design. Englewood Cliffs, NJ: Prentice Hall.
   Google Scholar
• Pullan, T. T., M. Bhasi, and G. Madhu. 2010. “Application of Concurrent Engineering in Manufacturing Industry.” International Journal of Computer Integrated Manufacturing 23 (5): 425–440.
   Web of Science ®Google Scholar
• Rahim, M. A., and W. I. AI-Hajailan. 2006. “An Optimal Production Run for an Imperfect Production Process with Allowable Shortages and Time-Varying Fraction Defective Rate.” International Journal of Advanced Manufacturing Technology 27: 1170–1177.
   Web of Science ®Google Scholar
• Rahim, M. A., and K. S. Al-Sultan. 2000. “Joint Determination of the Optimum Target Mean and Variance of a Process.” Journal of Quality in Maintenance Engineering 6 (3): 192–199.
   Google Scholar
• Rahim, M. A., J. Bhadury, and K. S. Al-Sultan. 2002. “Joint Economic Selection of Target Mean and Variance.” Engineering Optimization 34: 1–14.
   Web of Science ®Google Scholar
• Rahim, M. A., and A. B. Shaibu. 2000. “Economic Selection of Optimal Target Value.” Process Control and Quality 11: 364–381.
   Google Scholar
• Rahim, M. A., and M. A. Tuffaha. 2004. “Integrated Model for Determining the Optimal Initial Settings of the Process Mean and the Optimal Production Run Assuming Quadratic Loss Functions.” International Journal of Production Research 42 (16): 3281–3300.
   Web of Science ®Google Scholar
• SAS Institute. 2001. SAS/STAT User’s Guide. Cary, NC: SAS Institute.
   Google Scholar
• Stat-Ease. 2010. Design-Expert 8 User Guide. Minneapolis, MN: Stat-Ease.
   Google Scholar
• Taguchi, G., E. Elsayed, and T. Hsiang. 1989. Quality Engineering in Production Systems. New York: McGraw Hill.
   Google Scholar