Optimal target selection for unbalanced tolerance design

International Journal of Advanced Manufacturing Technology

Volumn 23, Issue 9-10, 2004, Pages 743-749

  Li, M H Caleb ^a  

^a FENG CHIA UNIVERSITY   (Taiwan)

Author keywords

Process optimisation; Quality loss function; Tolerance design

Indexed keywords

INSPECTION; MATHEMATICAL MODELS; NUMERICAL ANALYSIS; OPTIMIZATION; QUALITY ASSURANCE; RELIABILITY; SIGNAL TO NOISE RATIO; STANDARDIZATION;

OPTIMAL TARGET SELECTION; PROCESS OPTIMIZATION; QUALITY LOSS FUNCTION; TOLERANCE DESIGN;

FITS AND TOLERANCES;

EID: 2942672887     PISSN: 02683768     EISSN: None     Source Type: Journal    
DOI: 10.1007/s00170-003-1650-x     Document Type: Article

References (25)

1. Taguchi G (1991) Taguchi methods. In: Research and development, vol 1. American Suppliers Institute Press, Dearborn
2. Taguchi G (1991) Taguchi methods. In: Signal-to-noise ratio for quality evaluation, vol 3. American Suppliers Institute Press, Dearborn
3. Liggett JV (1993) Dimensional variation management handbook. Prentice-Hall, Englewood Cliffs
4. Mitra A (1993) Fundamentals of quality control and improvement. Macmillan, New York
5. Montgomery DC (1996) Introduction to statistical quality control, 3rd edn. Wiley, New York
6. Taguchi G, Elsayed EA, Hsiang T (1989) Quality engineering in production system. McGraw-Hill, New York
7. Parkinson A, Sorensen C, Pourhassan N (1993) A general approach for robust optimal design. J Mech Design 115:74-80
8. Box GEP (1988) Signal to noise ratios, performance criteria and transformations. Technometrics 30:1-40
9. Leon RV, Shoemaker AC, Kacker RN (1987) Performance measures independent of adjustment. Technometrics 29(3):253-265
10. Tsui KL (1992) An overview of taguchi method and newly developed statistical methods for robust design. IIE Trans 24(5):44-57
11. Cain M, Janssen C (1997) Target selection in process control under asymmetric costs. J Qual Technol 29(4):464-468
12. Spiring FA, Yeung AS (1998) A general class of loss functions with industrial applications. J Qual Technol 30(2): 152-162
13. Jeang A (1999) Optimal tolerance design by response surface methodology. Int J Prod Res 37(14):3275-3288
14. Jeang A (2001) Combined parameter and tolerance design optimization with quality and cost. Int J Prod Res 39(5):923-952
15. Hunter WG, Kartha CP (1977) Determining the most profitable target value for a production process. J Qual Technol 9(4):176-181
16. Bisgaard S, Hunter WG, Pallesen L (1984) Economic selection of quality of manufactured product. Technometrics 26(1):9-18
17. Pfeifer PE (1999) A general piecewise linear canning problem model. J Qual Technol 31(3):326-337
18. Golhar DY (1987) Determination of the best mean contents for a canning problem. J Qual Technol 19(2):82-84
19. Golhar DY, Pollock SM (1989) Determination of the optimal process mean and the upper limit for a canning problem. J Qual Technol 20(3):188-192
20. Boucher TO, Hafari MA (1991) The optimal target value for single filling operations with quality sampling plans. J Qual Technol 23(1):44-47
21. Schmidt RL, Pferfer PE (1991) Economic selection of the mean and upper limit for a canning problem with limited capacity. J Qual Technol 23(3):312-317
22. Gupta T, Golhar DY (1991) Determination of optimal lot sizing parameters and a controllable process mean for a production system. Int J Prod Res 29(4):821-834
23. Li MH (2000) Quality loss function based manufacturing process setting models for unbalanced tolerance design. Int J Adv Manuf Technol 16(1):39-45
24. Magsoodloo S, Li MH (2000) Optimal asymmetric tolerance design. IIE Trans 32(12):1127-1137
25. Black JT (1991) The design of the factory with a future. Mcgraw Hill, New York