Construction Tender Subcontract Selection using Case-based Reasoning

Obtaining competitive quotations from suitably qualified subcontractors at tender tim n significantly increase the chance of w1nmng a construction project. Amidst an increasingly growing trend to subcontracting in Australia, selecting appropriate subcontractors for a construction project can be a da...

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Main Authors: Due Luu, Wily Sher
Format: Article
Language:English
Published: UTS ePRESS 2012-11-01
Series:Construction Economics and Building
Online Access:https://learning-analytics.info/journals/index.php/AJCEB/article/view/2982
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spelling doaj-445747bf7c75466ea9edd45ba002a1052020-11-24T21:15:36ZengUTS ePRESSConstruction Economics and Building2204-90292012-11-016210.5130/AJCEB.v6i2.29821941Construction Tender Subcontract Selection using Case-based ReasoningDue Luu0Wily Sher1Quasar Group of Construction Pty LtdUniversity of NewcastleObtaining competitive quotations from suitably qualified subcontractors at tender tim n significantly increase the chance of w1nmng a construction project. Amidst an increasingly growing trend to subcontracting in Australia, selecting appropriate subcontractors for a construction project can be a daunting task requiring the analysis of complex and dynamic criteria such as past performance, suitable experience, track record of competitive pricing, financial stability and so on. Subcontractor selection is plagued with uncertainty and vagueness and these conditions are difficul_t o represent in generalised sets of rules. DeciSIOns pertaining to the selection of subcontr:act?s tender time are usually based on the mtu1t1onand past experience of construction estimators. Case-based reasoning (CBR) may be an appropriate method of addressing the chal_lenges of selecting subcontractors because CBR 1s able to harness the experiential knowledge of practitioners. This paper reviews the practicality and suitability of a CBR approach for subcontractor tender selection through the development of a prototype CBR procurement advisory system. In this system, subcontractor selection cases are represented by a set of attributes elicited from experienced construction estimators. The results indicate that CBR can enhance the appropriateness of the selection of subcontractors for construction projects.https://learning-analytics.info/journals/index.php/AJCEB/article/view/2982
collection DOAJ
language English
format Article
sources DOAJ
author Due Luu
Wily Sher
spellingShingle Due Luu
Wily Sher
Construction Tender Subcontract Selection using Case-based Reasoning
Construction Economics and Building
author_facet Due Luu
Wily Sher
author_sort Due Luu
title Construction Tender Subcontract Selection using Case-based Reasoning
title_short Construction Tender Subcontract Selection using Case-based Reasoning
title_full Construction Tender Subcontract Selection using Case-based Reasoning
title_fullStr Construction Tender Subcontract Selection using Case-based Reasoning
title_full_unstemmed Construction Tender Subcontract Selection using Case-based Reasoning
title_sort construction tender subcontract selection using case-based reasoning
publisher UTS ePRESS
series Construction Economics and Building
issn 2204-9029
publishDate 2012-11-01
description Obtaining competitive quotations from suitably qualified subcontractors at tender tim n significantly increase the chance of w1nmng a construction project. Amidst an increasingly growing trend to subcontracting in Australia, selecting appropriate subcontractors for a construction project can be a daunting task requiring the analysis of complex and dynamic criteria such as past performance, suitable experience, track record of competitive pricing, financial stability and so on. Subcontractor selection is plagued with uncertainty and vagueness and these conditions are difficul_t o represent in generalised sets of rules. DeciSIOns pertaining to the selection of subcontr:act?s tender time are usually based on the mtu1t1onand past experience of construction estimators. Case-based reasoning (CBR) may be an appropriate method of addressing the chal_lenges of selecting subcontractors because CBR 1s able to harness the experiential knowledge of practitioners. This paper reviews the practicality and suitability of a CBR approach for subcontractor tender selection through the development of a prototype CBR procurement advisory system. In this system, subcontractor selection cases are represented by a set of attributes elicited from experienced construction estimators. The results indicate that CBR can enhance the appropriateness of the selection of subcontractors for construction projects.
url https://learning-analytics.info/journals/index.php/AJCEB/article/view/2982
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