On Tolerance Analysis Using Inflation Factors

확대인자를 이용한 허용차 분석법의 타당성 평가

  • Seo, Sun-Keun (Dept. of Industrial & Management Systems Engineering, Dong-A University) ;
  • Cho, You-Hee (Dept. of Industrial & Management Systems Engineering, Dong-A University)
  • 서순근 (동아대학교 산업경영공학과) ;
  • 조유희 (동아대학교 산업경영공학과)
  • Published : 2005.09.30

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

References

  1. Bender, A.(1962), 'Benderizing Tolerances - A Simple Practical Probability Method of Handling Tolerances for Limit Stack Ups', Graphic Science, December, p. 17
  2. Bothe, D. R.(2002), 'Statistical Reason for the 1.5$\sigma$ Shift, Quality Engineering, Vol. 14, pp. 479-487 https://doi.org/10.1081/QEN-120001884
  3. Chase, K. W. and Greenwood, W. H. (1988), 'Design Issues in Mechanical Tolerance Analysis', Manufacturing Review, Vol. 1, pp. 50-59
  4. Creveling, C. M.(1997), Tolerance Design : A Handbook for Developing Optimal Specifications, Addison-Wesley, Reading (MA), USA
  5. 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
  6. 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
  7. 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
  8. Gerth, R. J.(1996), 'Engineering Tolerancing : A Review of Tolerance Analysis and Allocation', Engineering Design and Automation, Vol. 2, No.1, pp. 3-32
  9. Gilson, J. A. (1958), New Approach to Engineeriru; Tolerances, Machinery Publishing Co., Ltd., London, UK
  10. 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
  11. Harry, M. J. and Lawson, J. R. (1992), Six Sigma Producibility Analysis and Process Characterization, Motorola University Press, Schaumber(lL), USA
  12. 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
  13. Six Sigma Academy(1998), Inc. Minitab Six Sigma Module, URL: http://www.6-sigma, com
  14. Stanard, C. (2001), 'Six Sigma Special Topics: z-shifts, Statistics & Non-standard Data Analysis', GE Global Research Technical Report, 2001 CR 120
  15. Stefano, P. D.(2003), 'Tolerance Analysis and Synthesis Using Mean Shift Model', Journal of Mechanical Engineering Science, Vol. 217, pp. 149-159 https://doi.org/10.1243/095440603762826477
  16. Taguchi, G.(1986), Introduction to Quality Engineering, Asia Productivity Organization, Tokyo, Japan
  17. Voelkel, J. G.(2004), 'What is 3.4 Parts Per Million', Quality Progress, Vol. 37, No.5, pp. 63-65