A Computerised Approach to Bidding Strategy in Civil Engineering

Abstract

This investigation was concerned with the study of the various aspects of the theory of bidding strategy. This study was conducted using two methods. The first method is that of analysing actual bidding data by attempting to fit known statistical distributions to them. However, the amount of bidding data available was not enough to draw general conclusions and an alternative method was sought. The second method is that of computerised simulation using pseudo-random numbers to sample from theoretical distributions. A sub-routine to generate pseudo-random numbers was developed and tested. The influence of important parameters like the number of competitors, the estimation accuracy, the applied mark up and the effect of the job value were studied. A study of the break even mark up was also conducted. The simulation results obtained compare very well with those available in the published literature. A complete listing of all the computer programs developed is presented together with their flow charts.

Divisions: College of Engineering & Physical Sciences
Additional Information: Copyright © Rawaa Mustafa Al-Sharqi, 1977. Rawaa Mustafa Al-Sharqi asserts her moral right to be identified as the author of this thesis. This copy of the thesis has been supplied on condition that anyone who consults it is understood to recognise that its copyright rests with its author and that no quotation from the thesis and no information derived from it may be published without appropriate permission or acknowledgement. If you have discovered material in Aston Publications Explorer which is unlawful e.g. breaches copyright, (either yours or that of a third party) or any other law, including but not limited to those relating to patent, trademark, confidentiality, data protection, obscenity, defamation, libel, then please read our Takedown Policy and contact the service immediately.
Institution: Aston University
Uncontrolled Keywords: Computerised approach,Bidding Strategy,Simulation
Last Modified: 08 Dec 2023 08:07
Date Deposited: 07 Jun 2011 08:59
Completed Date: 1977
Authors: Al-Sharqi, Rawaa Mustafa

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