The Use of Dynamic Programming in an Occupational Environmental Problem.

Abstract

Dynamic programming is applied to the problem of finding an optimal sampling strategy for a work environment in which employees are exposed to hazardous substances. The level of concentration is modeled as a stochastic process. Some numerical examples are given where the concentration level is assumed to be a Markov chain, and optimal decisions and costs are computed. (Author)

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Document Details

Document Type
Technical Report
Publication Date
Dec 01, 1982
Accession Number
ADA127485

Entities

People

  • Arnold L. Sweet

Organizations

  • United States Air Force School of Aerospace Medicine

Tags

Communities of Interest

  • Biomedical
  • C4I
  • Human Systems
  • Materials and Manufacturing Processes

DTIC Thesaurus Topics

  • Aerospace Medicine
  • Air Force
  • Air Force Facilities
  • Algorithms
  • Computer Programming
  • Computer Programs
  • Dynamic Programming
  • Iterations
  • Markov Chains
  • Probability
  • Probability Distributions
  • Production
  • Random Variables
  • Stationary
  • Stochastic Processes
  • Time Intervals
  • Transitions

Fields of Study

  • Mathematics

Readers

  • Adaptive Control and Estimation with Uncertainty in Dynamic Systems.
  • Fire Suppression Systems Design.
  • Organizational Psychology.