Optimal Replacement for Shock Processes.

Abstract

The research performed under this grant successfully developed a method for determining an optimal state-age dependent replacement policy for a semi-Markov shock model. Comparisons between the method developed here and the standard policy iteration approach show a significant improvement in computer speed and memory requirements. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1977
Accession Number
ADA050574

Entities

People

  • Richard M. Feldman

Organizations

  • Texas A&M University

Tags

Communities of Interest

  • C4I
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Air Force
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Computers
  • Industrial Engineering
  • Iterations
  • Maintenance Costs
  • Markov Chains
  • Markov Processes
  • Operations Research
  • Probability
  • Probability Distributions
  • Random Variables
  • Stochastic Processes
  • United States
  • Universities

Readers

  • Mathematical Modeling and Probability Theory.
  • Software Engineering