Economic design of cumulative sum control charts for monitoring a process with correlated samples

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Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.3/150771

Title: Economic design of cumulative sum control charts for monitoring a process with correlated samples
Author(s): Lee, M. H.
Abstract: The underlying assumption for the design of control charts is the measurements within a sample are independently distributed. However, there are many situations where the uncorrelation assumption may be unacceptable in practice. In this paper, the economic design of cumulative sum (CUSUM) control chart for correlated data within a sample is developed. The genetic algorithm is applied to find the optimal design parameters of the CUSUM control chart by minimizing the cost function. An illustrative example is given. A sensitivity analysis is then conducted to evaluate the effects of cost parameters, process parameters, and correlation coefficient on the economic design.
Publication type: Journal article
Research centre: Swinburne University of Technology. Sarawak Campus. School of Engineering, Computing and Science
Source: Communications in Statistics: Simulation and Computation, Vol. 39, no. 10 (2010), pp. 1909-1922
Publication year: 2010
FOR Code(s): 010401 Applied Statistics; 091008 Manufacturing Safety and Quality
Keyword(s): Correlated data; Cumulative sum chart; Economic design; Genetic algorithm
Publisher: Taylor and Francis
ISSN: 0361-0918
Publisher URL: http://dx.doi.org/10.1080/03610918.2010.524333
Peer reviewed