The use of Statistical Process Control (SPC) techniques for monitoring manufacturing processes in mass production is relatively easy. In small‐batch manufacture, however, such techniques can be difficult to implement due to lack of sufficient data to establish control decisions for control...

Control charts and process capability calculations remain fundamental techniques for statistical process control. However, it has long been realized that the accuracy of these calculations can be significantly affected when sampling from a non‐Gaussian population. Many quality practitioners...

Proposes the use of a β, or difference‐from‐nominal, control chart for short‐run industrial processes providing certain conditions are met. While some manufacturers have used delta charts in the past, only recently have delta charts been discussed in the literature –and then under a...

Usually, statistical process control uses control charts for monitoring the evolution of a manufacturing process. Traditionally, control limits are computed without considering another aspect of statistical process control: the process capability (PC). This is essential information because it...

Considers the problem of determining economic statistical np ‐control chart designs under the fuzzy environment of closely satisfying type I and II errors. Goes on to model the problem as fuzzy mathematical programming, and uses a heuristic method to obtaining the solution.

Discusses some of the practical difficulties commonly experienced with Shewhart control charts, and makes three suggestions for overcoming these difficulties. The first suggestion is to distinguish the “out‐of‐control” points by some means other than control lines – perhaps by ringing...

This paper proposes a simplified procedure to approximate optimal values for the sample size, control limits, and sampling interval of a control chart based quality control station. The procedure considers the specifications in evaluating the control limits, permits asymmetry in these limits and...