1
Industrial engineering system management and productivity, Tarbiat Modares University, Tehran
2
Department of Industrial Engineering, Islamic Azad University, West Tehran Branch
Abstract
Profile monitoring is one of the emerging research areas in the field of statistical process control. A profile describes the relationship between a response variable and one or more independent variables. This relationship, which is typically modeled using a regression equation, may be simple linear, multiple linear, polynomial, or in some cases nonlinear. In order to monitor the quality of a process or product whose quality characteristic is expressed as a profile, multivariate control charts must be used due to the correlation among the regression model parameters. Various types of multivariate control charts can be applied to detect small and large shifts in the process. A major limitation of multivariate control charts is their inability to identify the specific parameter that goes out of control once a change is detected. In this study, after a multivariate MCUSUM control chart in the MCUSUM–Chi-square method signals a shift in a polynomial profile, a multilayer perceptron neural network is employed to identify the out-of-control parameter. The designed network is trained and then tested, and the results demonstrate its strong performance in identifying the parameter that has shifted out of control.
baradaran kazem zade,R. and Ayoubi,M. (2012). Detection of Out-of-Control Parameters in Polynomial Profiles Using an Artificial Neural Network. Journal of Quality Engineering and Management, 2(1), 21-26.
MLA
baradaran kazem zade,R. , and Ayoubi,M. . "Detection of Out-of-Control Parameters in Polynomial Profiles Using an Artificial Neural Network", Journal of Quality Engineering and Management, 2, 1, 2012, 21-26.
HARVARD
baradaran kazem zade R., Ayoubi M. (2012). 'Detection of Out-of-Control Parameters in Polynomial Profiles Using an Artificial Neural Network', Journal of Quality Engineering and Management, 2(1), pp. 21-26.
CHICAGO
R. baradaran kazem zade and M. Ayoubi, "Detection of Out-of-Control Parameters in Polynomial Profiles Using an Artificial Neural Network," Journal of Quality Engineering and Management, 2 1 (2012): 21-26,
VANCOUVER
baradaran kazem zade R., Ayoubi M. Detection of Out-of-Control Parameters in Polynomial Profiles Using an Artificial Neural Network. J. Qual. Eng. Manag., 2012; 2(1): 21-26.
