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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2012-11-01
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Series: | Construction Economics and Building |
Online Access: | https://learning-analytics.info/journals/index.php/AJCEB/article/view/2982 |
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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 |
work_keys_str_mv |
AT dueluu constructiontendersubcontractselectionusingcasebasedreasoning AT wilysher constructiontendersubcontractselectionusingcasebasedreasoning |
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