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

Stefano Barone, Per Johansson, Alexander Chakhunashvili, Bo Bergman

Risultato della ricerca: Article

52 Citazioni (Scopus)

Abstract

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 © 2006 John Wiley & Sons, Ltd.
Lingua originaleEnglish
pagine (da-a)865-876
Numero di pagine12
RivistaQuality and Reliability Engineering International
Volume22
Stato di pubblicazionePublished - 2006

All Science Journal Classification (ASJC) codes

  • Safety, Risk, Reliability and Quality
  • Management Science and Operations Research

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