AN IMPROVED POLICY ITERATION ALGORITHM FOR SEMI-MARKOV MAINTENANCE PROBLEMS

abstract

• This paper uses a general maintenance problem and a new policy iteration algorithm to solve most semiMarkovian maintenance models. This algorithm decomposes the maintenance process into a deteriorating process and a sequence of replacement and repair actions so that the number of states involved in the decision process is less than the state space of the unmaintained process. Consequently, the number of equations to be solved at every iteration step can be substantially reduced. The improved policy iteration algorithm and the conventional policy iteration algorithm are compared in a set of randomly generated semi-Markov maintenance problems. 1992 Taylor & Francis Group, LLC.

authors

• Feldman, Richard
• Valdez Flores, Ciriaco

published proceedings

• IIE TRANSACTIONS

author list (cited authors)

• VALDEZFLORES, C., & FELDMAN, R. M.

citation count

• 8

complete list of authors

• VALDEZFLORES, C||FELDMAN, RM

publication date

• March 1992

publisher

• Taylor & Francis  Publisher

published in

• IIE Transactions  Journal

Digital Object Identifier (DOI)

• 10.1080/07408179208964198

start page

• 55

end page

• 63

volume

• 24

issue

• 1

URL

• http://dx.doi.org/10.1080/07408179208964198