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.
Notes
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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
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
STARS Citation
Wall, Michael S., "Economic Design of Lot-By-Lot Acceptance Sampling by Attributes" (1988). Retrospective Theses and Dissertations. 4354.
https://stars.library.ucf.edu/rtd/4354
Accessibility Status
Searchable text