Please use this identifier to cite or link to this item: https://doi.org/10.1108/02656710010304591
Title: Optimum prioritisation and resource allocation based on fault tree analysis
Authors: Xie, M. 
Tan, K.C. 
Goh, K.H.
Huang, X.R.
Keywords: Reliability
Resource management
Systems management
Issue Date: 2000
Source: Xie, M.,Tan, K.C.,Goh, K.H.,Huang, X.R. (2000). Optimum prioritisation and resource allocation based on fault tree analysis. International Journal of Quality and Reliability Management 17 (2) : 189-199. ScholarBank@NUS Repository. https://doi.org/10.1108/02656710010304591
Abstract: Fault tree analysis (FTA) is a technique widely used in the study of the reliability of industrial systems and to quantify risks associated with potentially hazardous systems. Most of the studies carried out are related to how to construct a fault tree and how to carry out qualitative and quantitative analysis. However, this paper studies an approach for prioritisation and optimum resource allocation by making use of the FTA technique. The basic idea is to develop a simple procedure for the ranking of basic elements in the complex system, so that maximum increase in reliability can be achieved. We compare our approach with the existing basic event importance measures, and show that the simple approach is easy to apply and provides ranking that is similar to other more complicated approaches. In addition, the new ranking approach can be used at the initial stages of fault tree construction as it does not require the whole fault tree to be completely developed. © MCB University Press, 0265-67IX.
Source Title: International Journal of Quality and Reliability Management
URI: http://scholarbank.nus.edu.sg/handle/10635/63244
ISSN: 0265671X
DOI: 10.1108/02656710010304591
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

14
checked on Dec 12, 2017

Page view(s)

14
checked on Dec 14, 2017

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.