A Stochastic Constrained Optimal Replacement Model: The Case of Ship Replacement
Peter J. Kalman
Additional contact information
Peter J. Kalman: Stale University of New York, Stony Brook, New York
Operations Research, 1972, vol. 20, issue 2, 327-334
Abstract:
This paper formulates a stochastically constrained equipment replacement model. Its aim is to determine a sequence of replacement dates such that the total “current account” cost of all future costs and capital expenditures over an infinite time horizon for the n initial incumbent machines is minimized subject to the constraints that, at each point in time, the expected number of machines in each of several “utility classes” has a prescribed value. The theoretical model is then solved under a set of simplifying assumptions and applied to the problem of ship replacement.
Date: 1972
References: Add references at CitEc
Citations: View citations in EconPapers (1)
Downloads: (external link)
http://dx.doi.org/10.1287/opre.20.2.327 (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:inm:oropre:v:20:y:1972:i:2:p:327-334
Access Statistics for this article
More articles in Operations Research from INFORMS Contact information at EDIRC.
Bibliographic data for series maintained by Chris Asher ().