An alternative desirability function for achieving 'six sigma' quality

Quality and Reliability Engineering International

Volumn 19, Issue 3, 2003, Pages 227-240

  Ribardo, Charles ^a   Allen, Theodore T ^b  

^a Stewart and Stevenson   (United States)

^b Ohio State University   (United States)

Author keywords

Multicriterion optimization; Response surface methodology; Robust design

Indexed keywords

MATHEMATICAL MODELS; OPTIMIZATION; RELIABILITY;

DESIRABILITY;

SURFACE PHENOMENA;

EID: 0038606853     PISSN: 07488017     EISSN: None     Source Type: Journal    
DOI: 10.1002/qre.523     Document Type: Article

References (20)

1. Box GEP, Draper NR. Empirical Model Building and Responses Surfaces. Wiley: New York, 1987.
2. Khuri AI, Cornell JA. Response Surfaces: Designs and Analyses (3rd edn). Marcel Dekker: New York, 1995.
3. Myers RH, Montgomery DC. Response Surface Methodology. Wiley: New York, 1995.
4. Castillo ED, Montgomery DC, McCarville DR. Modified desirability functions for multiple response optimization. Journal of Quality Technology 1996; 28(3):337-345.
5. Derringer GC. A balancing act: Optimizing a product's properties. Quality Progress 1994; (June):51+.
6. Derringer GC, Suich R. Simultaneous optimization of several response variables. Journal of Quality Technology 1980; 12(4):214-219.
7. Harrington EC. The desirability function. Industrial Quality Control 1965; (April):494-498.
8. Kim K, Lin DKJ. Simultaneous optimization of mechanical properties of steel by maximizing exponential desirability functions. Journal of the Royal Statistical Society: Series C 2000; 48:311-325.
9. Montgomery DC. Introduction to Statistical Quality Control (4th edn). Wiley: New York, 2001.
10. Harry MJ. The Vision of Six Sigma: A Roadmap for Breakthrough. Sigma: Phoenix, 1994.
11. Pande PS, Neuman RP, Cavanagh RR. The Six Sigma Way: How GE, Motorola, and Other Top Companies are Honing Their Performance. McGraw Hill: New York, 2000.
12. Barton RR, Tsui KL. Multivariate yield maximization using CAD/CAE models: Efficient approximation based on mean and variance. Design Theory and Methodology 1991; 31-35.
13. Plante RD. Multicriteria models for the allocation of design parameter targets. European Journal of Operations Research 1999; 115:98-112.
14. Box GEP, Behnken DW. Some new three-level designs for the study of quantitative variables. Technometrics 1960; 2:455-475.
15. Ribardo C. Desirability functions for comparing parameter optimization methods and for addressing process variability under six sigma assumptions. PhD Dissertation, The Ohio State University Industrial, Welding & Systems Engineering, Columbus, OH, 2000.
16. Allen T, Liyang Yu. Low-cost response surface methods from simulation optimization. Quality and Reliability Engineering International 2001; 17:1-13.
17. Koc M, Allen T, Jiratheranat S, Altan T. The use of FEA and experimental design to investigate tube hydroforming of a simple geometry. Machine Tool & Manufacturing 2000.
18. Allen T, Yu L, Bernshteyn M. Low cost response surface methods applied to the design of plastic snap fits. Quality Engineering 2000; 12:583-591.
19. Allen T, Ittiwattana W, Bernshteyn M. A method for robust machine design applied to arc-welding. Proceedings for the Third International Symposium on Tools and Methods of Competitive Engineering, Delft, The Netherlands, 18-21 April, 2000.
20. Allen T, Yu L. Low cost response surface methods for and from simulation optimization. Proceedings of the 2000 Winter Simulation Conference, 2000.