A data mining approach to study the significance of nonlinearity in multistation assembly processes

IIE Transactions (Institute of Industrial Engineers)

Volumn 38, Issue 12, 2006, Pages 1069-1083

  Ren, Yuan ^a   Ding, Yu ^a   Zhou, Shiyu ^b  

^a Texas A and M University   (United States)

^b University of Wisconsin Madison   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

APPROXIMATION THEORY; DATA MINING; MATHEMATICAL MODELS; PRODUCTION ENGINEERING; QUALITY ASSURANCE;

DATA MINING METHOD; MULTISTATION ASSEMBLY PROCESSES; MULTISTATION MANUFACTURING PROCESSES; QUALITY IMPROVEMENT;

ASSEMBLY;

EID: 33750139340     PISSN: 0740817X     EISSN: 15458830     Source Type: Journal    
DOI: 10.1080/07408170600735538     Document Type: Article

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