A parameter-tuned genetic algorithm for statistically constrained economic design of multivariate CUSUM control charts: A Taguchi loss approach

International Journal of Systems Science

Volumn 43, Issue 12, 2012, Pages 2275-2287

  Niaki, Seyed Taghi Akhavan ^a   Ershadi, Mohammad Javad ^a  

^a SHARIF UNIVERSITY OF TECHNOLOGY   (Iran)

Author keywords

economic statistical design; genetic algorithm; multivariate CUSUM; response surface methodology; Taguchi loss function

Indexed keywords

AVERAGE RUN LENGTHS; CONTROL CHARTS; CONTROL LIMITS; CUMULATIVE SUM CONTROL CHARTS; CUSUM CONTROL CHART; ECONOMIC DESIGN; EXTERNAL COSTS; IN-CONTROL; MAIN PARAMETERS; MULTIVARIATE CUSUM; OUT-OF-CONTROL; REFERENCE VALUES; RESPONSE SURFACE METHODOLOGY; SAMPLE SIZES; SAMPLING INTERVAL; TAGUCHI; TAGUCHI LOSS FUNCTIONS; TECHNOMETRICS; TOTAL LOSS; UNIFIED APPROACH;

COST FUNCTIONS; FLOWCHARTING; ROBUSTNESS (CONTROL SYSTEMS); SAMPLING; SURFACE PROPERTIES; TAGUCHI METHODS;

GENETIC ALGORITHMS;

EID: 84867443936     PISSN: 00207721     EISSN: 14645319     Source Type: Journal    
DOI: 10.1080/00207721.2011.570878     Document Type: Article

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