EconPapers    
Economics at your fingertips  
 

Application of fuzzy failure mode effect analysis and expected value method for project risk analysis of elevated corridor metro rail projects

Debasis Sarkar

International Journal of Decision Sciences, Risk and Management, 2015, vol. 6, issue 1, 34-62

Abstract: This paper is an attempt to develop a methodology of risk analysis by the use of fuzzy failure mode and effect analysis (FFMEA) and expected value method (EVM) of elevated corridor construction for metro rail. Case studies of Ahmedabad-Gandhinagar metro rail and Mumbai metro rail construction in India, at various phases, are presented to validate the concept of this technique. According to EVM analysis, for elevated corridor projects about 81% risks are in the domain of 'critical' and 19% risks are under the domain of 'high' risk severity. According to FFMEA analysis about 85% of the risks fall under 'critical' severity category and rest 15% of the risks fall under 'v. high' and 'high' risk category. Thus quite similar results are obtained from both techniques. The project authorities need to adopt risk mitigation measures to avoid undue time and cost overrun for the project.

Keywords: risk assessment; elevated corridor construction; failure mode and effects analysis; fuzzy FMEA; fuzzy logic; expected value method; EVM; project risks; metro rail projects; India; metro railway; risk mitigation; time overrun; cost overrun; risk management; project management. (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

Downloads: (external link)
http://www.inderscience.com/link.php?id=72753 (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:ids:ijdsrm:v:6:y:2015:i:1:p:34-62

Access Statistics for this article

More articles in International Journal of Decision Sciences, Risk and Management from Inderscience Enterprises Ltd
Bibliographic data for series maintained by Sarah Parker ().

 
Page updated 2025-03-19
Handle: RePEc:ids:ijdsrm:v:6:y:2015:i:1:p:34-62