Designing a multivariate-multistage quality control system using artificial neural networks

International Journal of Production Research

Volumn 47, Issue 1, 2009, Pages 251-271

  Niaki, Seyed Taghi Akhavan ^a   Davoodi, Mehdi ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

Artificial neural networks; Multistage quality control; Multivariate quality control

Indexed keywords

BACKPROPAGATION; CLUSTER ANALYSIS; CONTROL SYSTEMS; CONTROL THEORY; CUSTOMER SATISFACTION; NEURAL NETWORKS; PROCESS ENGINEERING; QUALITY ASSURANCE; QUALITY FUNCTION DEPLOYMENT; RANDOM VARIABLES; ROBUSTNESS (CONTROL SYSTEMS); TIME SERIES ANALYSIS; TOTAL QUALITY MANAGEMENT; VEGETATION;

ARTIFICIAL NEURAL NETWORKS; AUTOCORRELATED DATUMS; AVERAGE RUN LENGTHS; CONTROL SIGNALS; CORRECT CLASSIFICATION RATIOS; MANUFACTURING SYSTEMS; MEAN SHIFTS; MULTISTAGE MANUFACTURING PROCESSES; MULTISTAGE PROCESSES; MULTISTAGE QUALITY CONTROL; MULTIVARIATE QUALITY CONTROL; MULTIVARIATE TIME SERIES; PAPER ADDRESSES; QUALITY CHARACTERISTICS; QUALITY CONTROL SYSTEMS; SIMULATION STUDIES;

QUALITY CONTROL;

EID: 56349153543     PISSN: 00207543     EISSN: 1366588X     Source Type: Journal    
DOI: 10.1080/00207540701504348     Document Type: Article

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