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On Tolerance Analysis Using Inflation Factors
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참고문헌
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초록
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.
참고문헌 (17)
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- Evans,D. H, "Statistical Tolerancing ：The State of the Art Part Ⅱ. Methods for Estimating Moments", 7(1), pp.1~12 (1975)
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- Gerth,R. J, "Engineering Tolerancing ：A Review of Tolerance Analysis and Allocation", 2(1), pp.3~32 (1996)
- Gilson,J. A, "New Approach to Engineering Tolerances", ltd. (1951), Machinery Publishing Co.
- Gladman,C. A, "Applying Probability to Tolerances Used in Engineering Design", me5(2), pp.82~88 (1980)
- Harry,M. J, "Six Sigma Producibility Analysis and Process Characterization", schaumber (1992), Motorola University Press
- Mansoor,E. M, "The Application of Probability to Tolerances Used in Engineering Design", 178(1), pp.29~51 (1964)
- Six Sigma Academy, "Inc. Minitab Six Sigma Module," (1998)
- Stanard, C.(, "Six Sigma Special Topics：z-shifts, Statistics & Non- standard Data Analysis＂" (2001)
- Stefano,P. D, "Tolerance Analysis and Synthesis Using Mean Shift Model", 217, pp.149~159 (2003)
- Taguchi,G, "Introduction to Quality Engineering", tokyo (1986)
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