Testing the value of best value:Evidence from educational facilities projects

Abstract

Contractor selection is one of the most important step in ensuring the success of any construction project. Failing to adequately select the winning contractor may lead to problems in the project delivery phase such as bad quality and delay in the expected project duration; which ultimately results in cost overruns. This paper presents an approach by which a what-if scenario can be analysed in educational facilities projects in the UK; therefore if the client selected the best value contractor for a project whose submitted price is not the lowest price, a what-if scenario was conducted to show how the lowest priced contractor would have fared had he/she been awarded the contract instead. This was done by analysing historic data of projects that have selected the lowest priced contractor. Then correlations were derived between variables; which was then be inputted into a Monte Carlo Simulation to analyse 3 real educational facilities projects that used a best value selection method. Using Monte Carlo Simulation allowed us to see all the possible outcomes of cost, and duration. It was concluded that selecting the best value contractor in educational facilities projects may not be necessary in terms of cost.

Publication DOI: https://doi.org/10.24928/2017/0090
Divisions: College of Engineering & Physical Sciences > School of Infrastructure and Sustainable Engineering > Engineering Systems and Supply Chain Management
College of Engineering & Physical Sciences > Sustainable environment research group
College of Engineering & Physical Sciences > Aston STEM Education Centre
College of Engineering & Physical Sciences
Additional Information: Copyright © 2017 by Kenneth Walsh, Editor.
Event Title: 25th Annual Conference of the International Group for Lean Construction, IGLC 2017
Event Type: Other
Event Dates: 2017-07-09 - 2017-07-12
Uncontrolled Keywords: Best value contractor,Contractor selection,Educational facilities projects,Lowest priced contractor,Monte Carlo Simulation,Civil and Structural Engineering,Building and Construction
Last Modified: 30 Sep 2024 09:18
Date Deposited: 03 Nov 2017 15:15
Full Text Link: http://www.lc3- ... ings-part_1.pdf
Related URLs: http://www.scop ... tnerID=8YFLogxK (Scopus URL)
PURE Output Type: Conference contribution
Published Date: 2017-09-01
Accepted Date: 2017-09-01
Authors: Eke, Gerald
Elgy, John

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