Possibilities of Using Graphical and Numerical Tools in the Exposition of Process Capability Assessment Techniques
Abstract
Purpose: The paper focuses on how the problem of process capability assessment can be handled when taught, using convenient numerical and graphical means. The contents of the paper results from the authors’ own academic and practical experience, which suggested that many important steps are overlooked in the process of selecting and using capability indices.
Methodology/Approach: Selected problems in capability assessment are illustrated with suitable examples and graphs.
Findings: The authors’ experience is reflected in the paper, aiming to emphasize what matters and how, and what does not. Also, a new capability index is introduced.
Research Limitation/implication: The style in which the problems are analysed may serve as a guide for further studies in the field and capability index applications.
Originality/Value of paper: The paper also contains, aside from specific examples, some more advanced techniques, and is therefore accompanied by software readouts, since computer support is required in such cases.References
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Schneider, H., Pruett, J. and Lagrange, C., 1996. Uses of process capability indices in the supplier certification process. Quality Engineering, [e-journal] 8(2), pp.225-235.
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Zgodavova, K. and Slimak, I., 2008. Advanced Improvement of Quality. In: DAAM, 19th International Symposium of the Danube-Adria-Association-for-Automation-and-Manufacturing Location. Trnava, Slovakia, pp.1551-1552.
Clements, J.A., 1989. Process capability calculations for non-normal Distributions. Quality Progress, 22, pp.95-100.
Holmes, D.S and Mergen, A.E., 1995. An alternative method to test for randomness of a process. Quality and Reliability Engineering International, 11(3), pp.171-174.
Hubele, N.F., Shahriari, H. and Cheng, C.S., 1991. A bivariate process capability vector in statistics and design in process control. Statistical Process Control in Manufacturing, pp.299-310.
Chan, L.K., Cheng, S.W. and Spiring, F.A., 1988. A new measure of process capability: Cpm. Journal of Quality Technology, [e-journal] 20(3), pp.162-175. https://doi.org/10.1080/00224065.1988.11979102.
Kotz, S. and Johnson, N., 1993. Process capability indices. London: Chapman & Hall.
Krishnamoorthi, K.S., 1990. Capability indices for process subject to unilateral and positional tolerance. Quality Engineering, [e-journal] 2(4), pp.461-471. https://doi.org/10.1080/08982119008962740.
Kutner, M.H., Nachtsheim, CH.J. and Neter, J., 2014. Applied Linear Regresion Models. New York: McGraw-Hill.
Lewis, S.S., 1991. Process capability estimates from small samples. Quality Engineering, 3(3), pp.381-394. https://doi.org/10.1080/08982119108918865.
Pearn, W.L. and Kotz, S., 1995. Application of Clements’ method for calculating second and third generation process capability indices for non-normal Pearson populations. Quality Engineering, [e-journal] 7(1), pp.139-145. https://doi.org/10.1080/08982119408918772.
Pearn, W.L. and Lin, P.C., 2002. Computer program for calculating the p-value in testing process capability index Cpmk. Quality and Reliability Engineering, [e-journal] 18(4), pp.333-342. https://doi.org/10.1002/qre.465.
Phillips, G.P., 1995. Target ratio simplifies capability index system, makes it easy to use Cpm. Quality Engineering, [e-journal] 7(2), pp.299-313. https://doi.org/10.1080/08982119408918785.
Schneider, H., Pruett, J. and Lagrange, C., 1996. Uses of process capability indices in the supplier certification process. Quality Engineering, [e-journal] 8(2), pp.225-235.
Tošenovský, J., 2006. Capa. [computer program] Josef Tošenovský. Available at: < josef.tosenovsky@vsb.cz > [01 March 2006].
Zgodavova, K. and Slimak, I., 2008. Advanced Improvement of Quality. In: DAAM, 19th International Symposium of the Danube-Adria-Association-for-Automation-and-Manufacturing Location. Trnava, Slovakia, pp.1551-1552.
Authors
Tošenovský, J., & Tošenovský, F. (2019). Possibilities of Using Graphical and Numerical Tools in the Exposition of Process Capability Assessment Techniques. Quality Innovation Prosperity, 23(2), 13–33. https://doi.org/10.12776/qip.v23i2.1219
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