Empirical Optimization in a Reliability Problem

Rosa E. Lillo () and Marcel F. Neuts ()
Additional contact information
Rosa E. Lillo: Universidad Carlos III de Madrid
Marcel F. Neuts: The University of Arizona

Methodology and Computing in Applied Probability, 2000, vol. 2, issue 4, 413-424

Abstract: Abstract The optimal spacing of inspections of a parallel system with m components is determined by empirical optimization. The lifetime distributions are general. By means of a heuristic search procedure, the optimal spacing is found for a given database of lifetimes. Usually, the proposed search procedure converges very rapidly. The qualities of the optimum are ascertained by independent replications using simulated lifetime data. The results of extensive experiments are reported and interpreted.

Keywords: empirical optimization; reliability; computer experimentation (search for similar items in EconPapers)
Date: 2000
References: Add references at CitEc
Citations:

Downloads: (external link)
http://link.springer.com/10.1023/A:1010014302439 Abstract (text/html)
Access to the full text of the articles in this series is restricted.

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:metcap:v:2:y:2000:i:4:d:10.1023_a:1010014302439

Ordering information: This journal article can be ordered from
https://www.springer.com/journal/11009

DOI: 10.1023/A:1010014302439

Access Statistics for this article

Methodology and Computing in Applied Probability is currently edited by Joseph Glaz

More articles in Methodology and Computing in Applied Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().