Optimal Replacement Policy Based on the Number of Down Times

Hanagal David D. and Kanade Rupali A.
Additional contact information
Hanagal David D.: Department of Statistics, University of Pune, Pune-411007, India. E-mail: david_hanagal@yahoo.co.in
Kanade Rupali A.: Department of Statistics, University of Pune, Pune-411007, India. E-mail: kanade_rupa@rediffmail.com

Stochastics and Quality Control, 2010, vol. 25, issue 1, 3-12

Abstract: In this paper a cold standby system consisting of two identical components (first component in working state and second one in the cold standby state) and one repairman is studied. A replacement policy is considered which is based on the number of down times in a renewal cycle. The problem is to determine an optimal policy with respect to the the long run reward per unit time. An explicit expression of the long run reward per unit time is derived and illustrated by a numerical example.

Keywords: Replacement policy; cold standby system; number of down times; renewal reward theorem; repair rate; negative binomial distribution (search for similar items in EconPapers)
Date: 2010
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://doi.org/10.1515/eqc.2010.001 (text/html)
For access to full text, subscription to the journal or payment for the individual article is required.

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:bpj:ecqcon:v:25:y:2010:i:1:p:3-12:n:2

Ordering information: This journal article can be ordered from
https://www.degruyter.com/journal/key/eqc/html

DOI: 10.1515/eqc.2010.001

Access Statistics for this article

Stochastics and Quality Control is currently edited by George P. Yanev

More articles in Stochastics and Quality Control from De Gruyter
Bibliographic data for series maintained by Peter Golla ().