Quality and Reliability Engineering International · 2006 · 74 citations · 20 references
ManagementIndustrial EngineeringQuality ManagementQuality EngineeringQuality ImprovementTotal Quality ManagementProcess VariationStatistical Process ControlVariation AnalysisVariation ReductionEffect AnalysisMeasurement Of VariationsProcess Variation AnalysisProcess Variation CharacterizationProcess Variation EffectsQuality Improvement ToolsQuality Variation AnalysisVariation Propagation
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.
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