In most manufacturing processes,identifying the key process factors that may lead to quality issues is crucial for quality engineers and practitioners.There are several evaluating procedures for identifying key factors under exports'experiences.Howev-er,in practice,the fuzziness and uncertainty of evaluation information is rarely considered,which restricts the applicability of such procedures in key factors analysis.Therefore,an uncertainty-driven approach based on fuzzy set theory and VIKOR for key quali-ty-effected factors identification and analysis is proposed,which is efficient for factors'orders of importance.Application results in welding processes of a certain aviation product demonstrate the effective of the proposed procedure.
Manufacturing ProcessQuality-Effected FactorsFuzzy Set TheoryVIKORFactor Identification
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