• Media type: E-Article
  • Title: Dynamically optimized replacement with a Markovian renewal process
  • Contributor: Siedersleben, Johannes
  • imprint: Cambridge University Press (CUP), 1981
  • Published in: Journal of Applied Probability
  • Language: English
  • DOI: 10.1017/s0021900200098430
  • ISSN: 0021-9002; 1475-6072
  • Keywords: Statistics, Probability and Uncertainty ; General Mathematics ; Statistics and Probability
  • Origination:
  • Footnote:
  • Description: <jats:p>We consider a system that gradually deteriorates. At random times <jats:italic>T<jats:sub>n</jats:sub> </jats:italic> the system is inspected and may or may not be replaced, but it must be if its state is too bad. The process of deterioration is described by a Markovian renewal process. Under some monotonicity conditions we derive a policy for the finite and the infinite horizon which minimizes the total discounted costs. This paper is a generalization of a result of Feldman (1977).</jats:p>