A simple suboptimal algorithm for system maintenanceunder partial observability
I. David,
L. Friedman and
Z. Sinuany‐Stern
Annals of Operations Research, 1999, vol. 91, issue 0, 25-40
Abstract:
We suggest a heuristic solution procedure for Partially Observable Markov DecisionProcesses with finite action space and finite state space with infinite horizon. The algorithmis a fast, very simple general heuristic; it is applicable for multiple states (not necessarilyordered) multiple actions and various distribution functions. The quality of the algorithm ischecked in this paper against existing analytical and empirical results for two specific modelsof machine replacement. One model refers to the case of two‐action and two‐system stateswith uniform observations (Grosfeld‐Nir [4]), and the other model refers to a case of manyordered states with binomial observations (Sinuany‐Stern et al. [11]). The paper also presentsthe model realization for various probability distribution functions applied to maintenanceand quality control. Copyright Kluwer Academic Publishers 1999
Date: 1999
References: Add references at CitEc
Citations: View citations in EconPapers (2)
Downloads: (external link)
http://hdl.handle.net/10.1023/A:1018949723461 (text/html)
Access to full text is restricted to subscribers.
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:spr:annopr:v:91:y:1999:i:0:p:25-40:10.1023/a:1018949723461
Ordering information: This journal article can be ordered from
http://www.springer.com/journal/10479
DOI: 10.1023/A:1018949723461
Access Statistics for this article
Annals of Operations Research is currently edited by Endre Boros
More articles in Annals of Operations Research from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().