Browse > Article

On Tolerance Analysis Using Inflation Factors  

Seo, Sun-Keun (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Cho, You-Hee (Dept. of Industrial & Management Systems Engineering, Dong-A University)
Publication Information
Journal of Korean Society for Quality Management / v.33, no.3, 2005 , pp. 91-104 More about this Journal
Abstract
Tolerance analysis plays an important role in design and manufacturing stages for reducing manufacturing cost by improving producibility. In most production processes encountered in practice, a process mean may shift or drift in the long run although process is in control. This study discusses the feasibility of three most common inflation factors(Bender, Gilson and Six Sigma) as a correction to Root Sum of Squares(RSS) method to compensate heuristically for a shift of process mean and nonnormal component distributions from simulation experiments and proposes the guidelines for choosing the inflation factor.
Keywords
Tolerance Analysis; Inflation Factor; RSS Method; Mean Shift;
Citations & Related Records
연도 인용수 순위
  • Reference
1 Chase, K. W. and Greenwood, W. H. (1988), 'Design Issues in Mechanical Tolerance Analysis', Manufacturing Review, Vol. 1, pp. 50-59
2 Evans, D. H.(1975b), 'Statistical Tolerancing : The State of the Art Part III. Shifts and Drifts', Journal of Quality Technology, Vol. 7, No.2, pp. 72-76
3 Gladman, C. A.(1980), 'Applying Probability to Tolerances Used in Engineering Design', Trans. Inst. Eng. Australia Mech. Eng., Vol. ME5, No.2, pp. 82-88
4 Harry, M. J. and Lawson, J. R. (1992), Six Sigma Producibility Analysis and Process Characterization, Motorola University Press, Schaumber(lL), USA
5 Six Sigma Academy(1998), Inc. Minitab Six Sigma Module, URL: http://www.6-sigma, com
6 Stanard, C. (2001), 'Six Sigma Special Topics: z-shifts, Statistics & Non-standard Data Analysis', GE Global Research Technical Report, 2001 CR 120
7 Taguchi, G.(1986), Introduction to Quality Engineering, Asia Productivity Organization, Tokyo, Japan
8 Voelkel, J. G.(2004), 'What is 3.4 Parts Per Million', Quality Progress, Vol. 37, No.5, pp. 63-65
9 Evans, D. H.(1974), 'Statistical Tolerancing : The State of the Art Part I. Background', Journal of Quality Technology, Vol. 6, No. 4, pp. 188-195
10 Bender, A.(1962), 'Benderizing Tolerances - A Simple Practical Probability Method of Handling Tolerances for Limit Stack Ups', Graphic Science, December, p. 17
11 Bothe, D. R.(2002), 'Statistical Reason for the 1.5$\sigma$ Shift, Quality Engineering, Vol. 14, pp. 479-487   DOI   ScienceOn
12 Gilson, J. A. (1958), New Approach to Engineeriru; Tolerances, Machinery Publishing Co., Ltd., London, UK
13 Gerth, R. J.(1996), 'Engineering Tolerancing : A Review of Tolerance Analysis and Allocation', Engineering Design and Automation, Vol. 2, No.1, pp. 3-32
14 Stefano, P. D.(2003), 'Tolerance Analysis and Synthesis Using Mean Shift Model', Journal of Mechanical Engineering Science, Vol. 217, pp. 149-159   DOI
15 Creveling, C. M.(1997), Tolerance Design : A Handbook for Developing Optimal Specifications, Addison-Wesley, Reading (MA), USA
16 Evans, D. H.(1975a), 'Statistical Tolerancing : The State of the Art Part II. Methods for Estimating Moments', Journal of Quality Technology, Vol. 7, No.1, pp. 1-12
17 Mansoor, E. M.(1964), 'The Application of Probability to Tolerances Used in Engineering Design', Proc. Inst. Mech. Eng, Vol. 178, No.1, pp. 29-51