IMPORTANT ISSUES IN MULTIPLE RESPONSE OPTIMIZATION
Subject Areas : Data Envelopment Analysis
محمد
طالقانی
1
(Department of Industrial management, Islamic Azad University, Rasht, Iran)
Keywords:
Abstract :
[1] Chih–Hua Chiao, Hamada M., Analyzing Experiments with Correlated Multiple Responses, Journal of Quality Technology, 33 (4), 2001.
[2] Del Castillo E., Montgomery D. C., A Nonlinear Programming Solution to the Dual Response Problem, Journal of Quality Technology 25, 199 – 204, 1993.
[3] Del Castillo E., Montgomery D. C., and Mc Carville D. R. Modified Desirability Functions for Multiple Response optimization, Journal of Quality Technology, 28 (3), 337 – 345, 1996.
[4] Harrington E. D. Jr., The Desirability Function, Industrial Quality Control, 494 – 498, 1965.
[5] Khuri A. I., and Conlon M., Simultaneous Optimization of Several Responses Represented by Polynomial Regression Functions, Technometrics, 23, 363 – 375, 1981.
[6] Khuri A., and Cornell J., Response Surfaces: Design and Analyses, Dekker, New York, 1996.
[7] Kim K. J., Byun J. H., Min D., and Jeong, I. J. Multiresponse Surface Optimization: Concept, Methods, and future Directions, (Tutorial), Korea Society for Quality Management, 2001.
[8] Kim K. J., Lin D. K. J., Optimization of multiple Responses Considering both Location and Dispersion Effects, European Journal of Operation Research, 169, 133 – 145, 2006.
[9] Myers R. H., and Montgomery D. C., Response Surface Methodology: Process and Product Optimization Using Designed Experiments, 2nd ed., John Wiley & Sons Inc., New York, 2003.
[10] Nelder J. A., Mead R., A Simplex Method for Function Minimization, Computing Journal 7, 308 – 313, 1965.
[11] Ortiz F., Simpson J. R., and Pignatiello J. J., A Genetic Algorithm Approach, to Multiple – Response Optimization, Journal of Quality Technology, 36 (4), 2004.
[12] Pignatiello J. J., Jr. Strategies for Robust Multi – response Quality Engineering, IIE Trans., 25, 5 – 15, 1993.
