Element maintenance and allocation for linear consecutively connected systems

Rui Peng, Min Xie, Szu Ng and Gregory Levitin

IISE Transactions, 2012, vol. 44, issue 11, 964-973

Abstract: This article considers optimal maintenance and allocation of elements in a Linear Multi-state Consecutively Connected System (LMCCS), which is important in signal transmission and other network systems. The system consists of N+1 linearly ordered positions (nodes) and fails if the first node (source) is not connected with the final node (sink). The reliability of an LMCCS has been studied in the past but has been restricted to the case when each system element has a constant reliability. In practice, system elements usually fail with increasing failure probability due to aging effects. Furthermore, in order to increase system availability, resources can be put into the maintenance of each element to increase the availability of the element. In this article, a framework is proposed to solve the cost optimal maintenance and allocation strategy of this type of system subject to an availability requirement. A universal generating function is used to estimate the availability of the system. A genetic algorithm is adopted for optimization. Illustrative examples are presented.

Date: 2012
References: Add references at CitEc
Citations: View citations in EconPapers (27)

Downloads: (external link)
http://hdl.handle.net/10.1080/0740817X.2011.649388 (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:taf:uiiexx:v:44:y:2012:i:11:p:964-973

Ordering information: This journal article can be ordered from
http://www.tandfonline.com/pricing/journal/uiie20

DOI: 10.1080/0740817X.2011.649388

Access Statistics for this article

IISE Transactions is currently edited by Jianjun Shi

More articles in IISE Transactions from Taylor & Francis Journals
Bibliographic data for series maintained by Chris Longhurst ().