Authors: D.R. Prajapati, P.B. Mahapatra
Addresses: Department of Mechanical Engineering, Punjab Engineering College, Chandigarh-160012, India. ' Department of Mechanical Engineering, Punjab Engineering College, Chandigarh-160012, India
Abstract: It has been concluded that 100% inspection cannot be relied upon to sort out non-conforming products from a product stream. So researchers have suggested to design suitable statistical tools e.g., control charts, which can be used to control the process of manufacturing. A control chart defines a statistic and some criteria such that the probability of statistic meeting the criteria is high when the process is under control and low when the process is out of control. Shewhart (1931) proposed first general model of control charts for variables. Since then, various approaches and their applications have been developed in this area. This paper provides a survey and brief summary of the work on the control charts for variables to monitor the process mean and dispersion from 1931 to 2008.
Keywords: statistical process control; SPC; control charts; variables; run rules; average run length; ARL; sample size; sampling interval; process mean; process dispersion; charts; CUSUM charts; EWMA charts; multivariate control charts; process monitoring; a literature review.
International Journal of Productivity and Quality Management, 2009 Vol.4 No.4, pp.476 - 520
Available online: 30 Mar 2009 *Full-text access for editors Access for subscribers Purchase this article Comment on this article