Please use this identifier to cite or link to this item: https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1780
Title: A multi-criteria approach for railway project fund allocation
Authors: Nag, Bodhibrata
Singh, Jeetendra
Keywords: Projects
Railroads
AHP
TOPSIS
Multi objective optimization
Issue Date: 2012
Publisher: AR-IIMC
Proceedings of 10th International Conference on Transportation Planning & Implementation Methodologies for Developing Countries, December 2012, Mumbai
SSRN
IIT Bombay
Series/Report no.: December
Abstract: In an emerging economy, transport planners have a difficult task of allocating scarce and costly capital amongst the available shelf of railway projects to effectively meet the increasing demands for railway infrastructure. Hitherto, a single criterion such as IRR was being used for ranking and selection of railway projects; however of late, planners have realized the need to incorporate other economic and strategic criteria too in project portfolio selection. There is thus now a need for an analytical tool to assist the decision makers in systematically evaluating the options for optimal allocation of capital amongst railway projects, using various criteria simultaneously. This paper proposes a two-phase analytic Hierarchy Process (AHP) and Technique for Order Preference by Similarity to Ideal Solution (TOPSIS)-Global Criteria approach for the purpose, wherein AHP is used to determine the weights of each criterion based on the planners’ evaluation of their relative importance. A single objective function is then obtained using TOPSIS-Global Criteria approach, which is used to identify the optimal capital allocation amongst competing projects. The methodology is demonstrated on a test case of a shelf of railway projects to obtain the best project portfolio fund allocation within the available capital resources.
Description: Bodhibrata Nag, Department of Operations Management, Indian Institute of Management Calcutta, Kolkata; Jeetendra Singh, Railway Board (Ministry of Railways), Rail Bhawan, New Delhi
URI: https://ssrn.com/abstract=2323253
https://ir.iimcal.ac.in:8443/jspui/handle/123456789/1780
Appears in Collections:Operations Management

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


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