Economic, Statistical, and Economic-Statistical Design of Attribute Charts

Abstract

We present a FORTRAN program that can be used to determine the economic, statistical, or economic-statistical design of a fraction defective or defects per unit chart. In the economic design approach, the general Lorenzen-Vance cost function is minimized. In statistical design, we find designs which meet constraints on average run length while in control and while in a variety of out-of-control states. Economic-statistical designs are based on Saniga's approach, which minimizes the cost function subject to statistical constraints.

• Economic Design
• Economic Control Charts
• Process Control
• Attributes Control Charts

Additional information

Notes on contributors

Erwin M. Saniga

Dr. Saniga is a Professor in the Department of Business Administration. He is a Member of ASQC.

Darwin J. Davis

Mr. Davis is a graduate student in the Department of Operations Management.

Thomas P. McWilliams

Dr. McWilliams is an Associate Professor in the School of Management. He is a Member of ASQC.