An Approach to Controlling Process Variability

Abstract

The design of statistical procedures to monitor and control the variability of production processes has received comparatively little attention in the literature. This paper considers the use of a standard deviation Control Chart for this purpose.

The derivation and some special features of economically optimal procedure designs are outlined. On the basis of one such feature, a simple scheme for the determination of approximately optimal designs is devised—the optimality criterion assumed is that of maximizing the long-run average profit per produced item.

Additional information

Notes on contributors

E. Von Collani

Dr. von Collani is a Privatdozent in the Institute of Applied Mathematics and Statistics.

J. Sheil

Dr. Sheil is a lecturer in Industrial Engineering. The work in this paper was completed while the author was in tenure of an Alexander von Humboldt-Stiftung fellowship at the University of Würzburg.