2134/32769
Pablo Ballesteros-Perez
Pablo
Ballesteros-Perez
M. Carmen Gonzalez-Cruz
M. Carmen
Gonzalez-Cruz
Marta Fernandez-Diego
Marta
Fernandez-Diego
Eugenio Pellicer
Eugenio
Pellicer
Estimating future bidding performance of competitor bidders in capped tenders
Loughborough University
2018
Bid
Tender
Auction
Construction
Score
Forecast
Built Environment and Design not elsewhere classified
2018-04-30 14:11:15
Journal contribution
https://repository.lboro.ac.uk/articles/journal_contribution/Estimating_future_bidding_performance_of_competitor_bidders_in_capped_tenders/9450050
© 2014 Vilnius Gediminas Technical University (VGTU) Press. Research in Bid Tender Forecasting Models (BTFM) has been in progress since the 1950s. None of the developed models were easy-to-use tools for effective use by bidding practitioners because the advanced mathematical apparatus and massive data inputs required. This scenario began to change in 2012 with the development of the Smartbid BTFM, a quite simple model that presents a series of graphs that enables any project manager to study competitors using a relatively short historical tender dataset. However, despite the advantages of this new model, so far, it is still necessary to study all the auction participants as an indivisible group; that is, the original BTFM was not devised for analyzing the behavior of a single bidding competitor or a subgroup of them. The present paper tries to solve that flaw and presents a stand-alone methodology useful for estimating future competitors bidding behaviors separately.