Opportunistic Replacement Policies for Maintained Systems

Abstract

Consider a unit in continuous operation. When this unit fails, it is immediately replaced. In addition, opportunities arise according to a renewal process when we can either replace this unit at a reduced cost or do nothing. The problem is formulated as a Markov decision process. If the unit has increasing failure rate, the replacement policy that minimizes the expected total discounted cost or the average cost of maintenance is characterized by a single parameter i* : If an opportunity exists, we replace the working unit only if its age exceeds i* . Techniques to compute the minimum discounted cost and the optimal policy are suggested. Under this simple replacement policy structure, the operating characteristics of the system are discussed for the special case where the opportunities arise according to an exponential arrival process. A series system of two units where the failure of either unit is also an opportunity to replace the other unit at a reduced cost is considered. When the units have increasingly failure rate, the structure of the optimal policy is again determined.

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Document Details

Document Type
Technical Report
Publication Date
Sep 01, 1976
Accession Number
ADA032866

Entities

People

  • Davinder P. Sethi

Organizations

  • University of California, Berkeley

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Abstracts
  • Bibliographies
  • Classification
  • Complex Systems
  • Distribution Functions
  • Maintenance
  • Maintenance Costs
  • Markov Processes
  • Military Research
  • New York
  • Operations Research
  • Preventive Maintenance
  • Probability
  • Random Variables
  • Repair
  • United States
  • Universities

Fields of Study

  • Engineering

Readers

  • Life Cycle Cost Analysis
  • Statistical inference.