Variation Mode and Effect Analysis: a Practical Tool for Quality Improvement

  title={Variation Mode and Effect Analysis: a Practical Tool for Quality Improvement},
  author={Per Johansson and Alexander Chakhunashvili and Stefano Barone and Bo Bergman},
  journal={Quality and Reliability Eng. Int.},
This paper describes a statistically based engineering method, variation mode and effect analysis (VMEA), that facilitates an understanding of variation and highlights the product/process areas in which improvement efforts should be targeted. An industrial application is also described to illustrate how the VMEA can be used for quality improvement purposes. Copyright c © 2006 John Wiley & Sons, Ltd. 
Highly Cited
This paper has 86 citations. REVIEW CITATIONS

From This Paper

Figures, tables, and topics from this paper.

Explore Further: Topics Discussed in This Paper


Publications citing this paper.
Showing 1-10 of 22 extracted citations

87 Citations

Citations per Year
Semantic Scholar estimates that this publication has 87 citations based on the available data.

See our FAQ for additional information.


Publications referenced by this paper.
Showing 1-10 of 21 references

Robust Design and Analysis for Quality Engineering

SH Park
Chapman and Hall: London, • 1996
View 4 Excerpts
Highly Influenced

Taguchi’s parameter design: A panel discussion

Nair VNE
Technometrics • 1992
View 4 Excerpts
Highly Influenced

Variation mode and effect analysis

Annual Symposium Reliability and Maintainability, 2004 - RAMS • 2004

Six Sigma for Quality and Productivity Promotion

SH Park
Asian Productivity Organization: Tokyo, • 2003
View 3 Excerpts

Variation Risk Management: Focusing Quality Improvements in Product Development and Production

AC Thornton

Design and Analysis of Experiments (5th edn)

DC Montgomery
Wiley: New York, • 2001

Tolerancing mechanical assemblies with CAD and DOE

S Bisgaard, S Graves, G. Shin
Journal of Quality Technology • 2000

A mathematical framework for the key characteristic process

AC Thornton
Research in Engineering Design • 1999

The impact of Six Sigma improvement—a glimpse into the future of statistics

GJ Hahn, WJ Hill, RW Hoerl, SA. Zinkgraf
The American Statistician • 1999
View 3 Excerpts