Shainin Methodology: An Alternative or an Effective Complement to Six Sigma?
Quality Innovation Prosperity, 2015, vol. 19, issue 2
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.
Keywords: DMAIC; problem-solving; quality improvement; reduction of process variation; Six Sigma; Shainin; Shainin RedX® (search for similar items in EconPapers)
JEL-codes: Z (search for similar items in EconPapers)
References: Add references at CitEc
Citations Track citations by RSS feed
Downloads: (external link)
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
Persistent link: http://EconPapers.repec.org/RePEc:tuk:qipqip:v:19:y:2015:i:2:2
Access Statistics for this article
Quality Innovation Prosperity is currently edited by Kristina Zgodavova
More articles in Quality Innovation Prosperity from Technical University of Košice, Department of integrated management
Series data maintained by Matus Horvath ().