Fuzzy multiple criteria decision system for contractor selection

Though the construction industry is one of the most dynamic, challenging and rewarding industries, it is also one that is full of uncertainties and associated risks. The proliferation of contracting firms due to low entry barriers to the industry, cutthroat competition as a result of shrinking const...

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Main Author: Singh, Dharmendra
Other Authors: Tiong Lee Kong, Robert
Format: Theses and Dissertations
Language:English
Published: 2008
Subjects:
Online Access:https://hdl.handle.net/10356/12216
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-122162023-03-03T19:09:26Z Fuzzy multiple criteria decision system for contractor selection Singh, Dharmendra Tiong Lee Kong, Robert School of Civil and Environmental Engineering DRNTU::Engineering::Civil engineering::Construction management Though the construction industry is one of the most dynamic, challenging and rewarding industries, it is also one that is full of uncertainties and associated risks. The proliferation of contracting firms due to low entry barriers to the industry, cutthroat competition as a result of shrinking construction markets in developed and developing countries and the unique nature of construction have led many construction clients to a crucial dilemma and that is which contractor to select for their jobs. As contractors play a pivotal role in any construction project, the crucial task of the selection by the client of ‘the right contractor for the right project’, therefore, constitutes the critical fulcrum upon which the overall success or otherwise of a construction project is precariously balanced. Doctor of Philosophy (CEE) 2008-09-25T06:40:32Z 2008-09-25T06:40:32Z 2006 2006 Thesis Singh, D. (2006). Fuzzy multiple criteria decision system for contractor selection. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/12216 10.32657/10356/12216 en Nanyang Technological University 288 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Civil engineering::Construction management
spellingShingle DRNTU::Engineering::Civil engineering::Construction management
Singh, Dharmendra
Fuzzy multiple criteria decision system for contractor selection
description Though the construction industry is one of the most dynamic, challenging and rewarding industries, it is also one that is full of uncertainties and associated risks. The proliferation of contracting firms due to low entry barriers to the industry, cutthroat competition as a result of shrinking construction markets in developed and developing countries and the unique nature of construction have led many construction clients to a crucial dilemma and that is which contractor to select for their jobs. As contractors play a pivotal role in any construction project, the crucial task of the selection by the client of ‘the right contractor for the right project’, therefore, constitutes the critical fulcrum upon which the overall success or otherwise of a construction project is precariously balanced.
author2 Tiong Lee Kong, Robert
author_facet Tiong Lee Kong, Robert
Singh, Dharmendra
format Theses and Dissertations
author Singh, Dharmendra
author_sort Singh, Dharmendra
title Fuzzy multiple criteria decision system for contractor selection
title_short Fuzzy multiple criteria decision system for contractor selection
title_full Fuzzy multiple criteria decision system for contractor selection
title_fullStr Fuzzy multiple criteria decision system for contractor selection
title_full_unstemmed Fuzzy multiple criteria decision system for contractor selection
title_sort fuzzy multiple criteria decision system for contractor selection
publishDate 2008
url https://hdl.handle.net/10356/12216
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