Shainin Methodology: An Alternative or an Effective Complement to Six Sigma?
Abstract
Purpose: The purpose of this paper is to provide a brief overview of Six Sigma and Shainin RedX® methodology and to propose the modification of Six Sigma methodology in order to achieve the improved efficiency of DMAIC in the diagnostic journey using some of the approaches of Shainin RedX® methodology. Methodology/Approach: The diagnostic journey of Six Sigma has been revised by bringing key elements of Shainin RedX® methodology into DMAIC: task domain character of the method, focus on the dominant root-cause, use of the progressive elimination method and the application of a problem-solving strategy. Findings: This paper presents a proposal of DMAIC framework modification using selected tools and procedures of Shainin RedX® methodology in the diagnostic phase. Research Limitation/implication: Although the improved methodology is used in the environment of the automotive supplier, in this paper, practical examples are not included in order not to violate the licensing rules applied by Shainin LLC. Originality/Value of paper: The contribution of this article is the proposal of modified methodology, which should improve the effectiveness of problem-solving.
References
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Bovenzi, P., Bender, D., Bloink, R., Conklin, M., Abrahamian, J., 2010. Risk Reducing Product and Process Design During New Product Development. Warrendale, SAE International, 2010, 8 p., ISSN 0148-7191.
Dasgupta, T., Adiga, N., Jeff Wu, C.F., 2011. Another Look at Dorian Shainin’s Variable Search Technique. Journal of Quality Technology, 43(4), pp.273-287.
de Mast, J., 2011. The tactical use of constraints and structure in diagnostics problem-solving. Omega, 39(6), pp.702-709.
de Mast, J., Lokkerbol, J., 2012. An analysis of the Six Sigma DMAIC method from the perspective of problem-solving. International Journal of Production Economics, 139(2), pp.604-614.
Juran, J.M., De Feo, J.A., 2010. Juran´s Quality Handbook. 6th ed., New York: McGraw-Hill Professional, 2010, 1136 p., ISBN 978-0-07-162973-7.
Linderman, K., Schroeder, R.G., Zaheer, S., Choo, A.S., 2003. Six Sigma: a goal theoretic perspective. Journal of Operations Management, 21(2), pp.193-203.
Schmidt, M., 2012. General Motors Technical Problem - Solving Group Drives Excellence, Case Study. American Society for Quality, November 2012, 6 p., Available at: http://asq.org/2012/11//general-motors.html.
Shainin, D., Shainin P.D., 1990. Analysis of Experiments. ASQC Quality Congress Transactions, San Francisco, 44, pp.1071-1077.
Shainin, R.D., 1993. Strategies for Technical Problem-solving. Quality Engineering, 5(3), pp.433-448.
Shainin, R.D., 2007. Multi-Vari Charts. In: F. Ruggeri, ed. 2007. Encyclopedia of Statistics in Quality and Reliability. London: Wiley, 1800 p., ISBN 978-0-470-01861-3.
Shainin, R.D., 2008. How Lean Is Your Six Sigma Program?, Six Sigma Forum Magazine, 7(4), pp.42-45.
Shainin, R.D., 2012. Dorian’s Statistical Engineering. ASQ’s World Conference on Quality and Improvement, Anaheim, 21-23 May 2012, Vol. 66, pp.1-17.
Sharma, S., Chetiya, A.R., 2009. Simplifying the Six Sigma Toolbox through Application of Shainin DOE Techniques. Vikalpa, 34(1), pp.13-19.
Steiner S.H., MacKay R.J., 2005. Statistical Engineering: An Algorithm for Reducing Variation in Manufacturing Processes. Milwaukee: ASQ Quality Press, 2005, 716 p., ISBN: 0-87389-646-7.
Steiner, S.H., MacKay, R.J., Ramberg, J.S., 2008. An Overview of the Shainin System™ for Quality. Quality Engineering, 20(1), pp.6-19.
Tosenovsky, J., Tosenovsky, F., Kudelka, O., 2013. Analysis of Robust Technology Design Methods. In: Conference proceedings 22nd International Conference on Metallurgy and Materials Metal´2013, pp.1662-1667, ISBN 978-80-87294-41-3.
Wortham, A., 2008. For Bosch, RedX marks spot for quality gains. Automotive News; February 2008, 82(6293), p.70.
Authors
Kosina, J. (2015). Shainin Methodology: An Alternative or an Effective Complement to Six Sigma?. Quality Innovation Prosperity, 19(2), 18–31. https://doi.org/10.12776/qip.v19i2.580
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