Price Adjusted Single Sampling with Linear Indifference

Abstract

This paper introduces and develops a new concept in statistical sampling, Price Adjusted Single Sampling (PASS) with linear indifference. The basic purpose in developing this inspection technique is to eliminate the process of rejecting lots, a common practice of all currently used sampling procedures. The basis and statistical model for PASS are developed such that a particular plan may be formulated and implemented. The theory is extended to include sampling risks incurred by the producer and consumer. This leads to both an operating curve which describes how a plan may be expected to function and to PASS Tables, which provide sample sizes for plans which encompass a wide variation in consumer and producer risks. Advantages and disadvantages of price-adjusted single sampling are discussed. A major limitation on the application of these plans is the linear indifference assumption.

• Inspection Methods
• Linear Indifference
• Price-Adjusted Single Sampling

View correction statement:

Corrigenda

Additional information

Notes on contributors

Joseph W. Foster

Dr. Foster is Director of the Production Design Engineering Program in the Graduate Extension Division of Texas A&M University. He is a Member of ASQC and AIIE.

Oscar T. Perry

Mr. Perry is Maintainability Engineer for the Quality Assurance Directorate at Picatinny Arsenal, a commodity center of the U. S. Army Munitions Command at Dover, N.J.