A Critique of Deming's Discussion of Acceptance Sampling Procedures.

Abstract

An inspection sampling problem discussed by Deming is analyzed assuming the percent defective, p, is partially unknown with prior pi(*). In this case, the all or none inspection rule discussed by Deming may not be correct. Simple condtions based on the lot size, the ratio of costs, and the posterior mean determine when 100% inspection is best. Efficient algorithms based on the posterior mean are given for determining the optimal inspection plan in general. Keywords include: Acceptance sampling; Bayesian inference; Sampling plan algorithms.

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Document Details

Document Type
Technical Report
Publication Date
Mar 01, 1985
Accession Number
ADA154305

Entities

People

  • R. E. Barlow
  • Xiaoxuan Zhang

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • Human Systems

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Assembly
  • Bayesian Inference
  • California
  • Computational Complexity
  • Governments
  • Industrial Engineering
  • Inspection
  • Mathematics
  • Military Standards
  • Operations Research
  • Probability
  • Production
  • Standards
  • Theorems
  • United States

Readers

  • Aerospace Test and Evaluation
  • Distributed Systems and Data Platform Development
  • Organizational Process Management (OPM).

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference
  • AI & ML - Machine Learning Algorithms