Bayesian Decision Theory in Variables Sampling for Quality Control.

Abstract

The Bayesian decision method has several features which are desirable in the sampling inspection process for quality control. These features include: (1) comparison of the value of sample information in the decision process with the information; (2) basing decisions on their consequences to the decision maker; and (3) allowing the use of subjective information in the decision process. In this paper the Bayesian decision procedures as it applies to variables sampling for quality control is examined. The basic method is developed for both simultaneous and sequential sampling and the modeling of decision consequences is discussed. Various models for the production process are provided and solutions for the generalized linear model obtained. Finally the incorporation of subjective information is discussed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jun 01, 1977
Accession Number
ADA042117

Entities

People

  • James R. Anderson

Organizations

  • Naval Postgraduate School

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Bayes Theorem
  • Decision Theory
  • Engineering
  • Equations
  • Fourier Series
  • Inspection
  • Models
  • Observation
  • Operations Research
  • Periodic Functions
  • Probability
  • Production
  • Quality Control
  • Sampling
  • Test Facilities
  • Theorems
  • Uncertainty

Fields of Study

  • Mathematics

Readers

  • Computational Fluid Dynamics (CFD)
  • Environmental Remediation and Restoration.
  • Team-Based Human-Centered Cognitive Task Decision Making and Information Performance.

Technology Areas

  • AI & ML
  • AI & ML - Bayesian Inference