Abstract

Risk-based sampling plans have long been the accepted standards in the practice of acceptance sampling for quality control. Usually the economic consequences of a given sampling plan are assessed by experience and intuition at best. With the availability of high speed computers and well-proven statistical methods, economically-optimal sampling pl a ns can now be developed so that much of the guesswork is removed. This study first surveys these methods for deriving economically-optimal sampling plans. Then, recognizing the reluctance in government and industry to abandoning ris k-based design of sampling plans, a method is explored which poses a compromise between the two. quality level is calculated at which the cost of inspection is equivalent to the cost of no inspection. A spr e adsheetbased model then selects an economically ne a r-optimal sampling p l a n from the MIL-STD-105D tables.

Graduation Date

1988

Semester

Summer

Advisor

Elshennawy, Ahmad K.

Degree

Master of Science (M.S.)

College

College of Engineering

Department

Industrial Engineering and Management Systems

Format

PDF

Pages

67 p.

Language

English

Rights

Public Domain

Length of Campus-only Access

None

Access Status

Masters Thesis (Open Access)

Identifier

DP0025782

Subjects

Dissertations, Academic -- Engineering; Engineering -- Dissertations, Academic

Share

COinS