Please use this identifier to cite or link to this item: https://doi.org/10.1080/0740817X.2011.649388
Title: Element maintenance and allocation for linear consecutively connected systems
Authors: Peng, R.
Xie, M.
Ng, S.H. 
Levitin, G.
Keywords: genetic algorithm
linear consecutively connected system
Maintenance decision
reliability allocation
universal generating function
Issue Date: 1-Nov-2012
Source: Peng, R., Xie, M., Ng, S.H., Levitin, G. (2012-11-01). Element maintenance and allocation for linear consecutively connected systems. IIE Transactions (Institute of Industrial Engineers) 44 (11) : 964-973. ScholarBank@NUS Repository. https://doi.org/10.1080/0740817X.2011.649388
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. © 2012 "IIE".
Source Title: IIE Transactions (Institute of Industrial Engineers)
URI: http://scholarbank.nus.edu.sg/handle/10635/63118
ISSN: 0740817X
DOI: 10.1080/0740817X.2011.649388
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