Construction Tender Subcontract Selection using Case-based Reasoning

Construction Economics and Building. 2012;6(2) DOI 10.5130/AJCEB.v6i2.2982

 

Journal Homepage

Journal Title: Construction Economics and Building

ISSN: 2204-9029 (Online)

Publisher: UTS ePRESS

Society/Institution: University of Technology Sydney

LCC Subject Category: Technology: Engineering (General). Civil engineering (General): Engineering economy | Technology: Building construction

Country of publisher: Australia

Language of fulltext: English

Full-text formats available: PDF, HTML

 

AUTHORS

Due Luu (Quasar Group of Construction Pty Ltd)
Wily Sher (University of Newcastle)

EDITORIAL INFORMATION

Double blind peer review

Editorial Board

Instructions for authors

Time From Submission to Publication: 20 weeks

 

Abstract | Full Text

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.