Mathematical relationships between scoring parameters in capped tendering

Ballesteros‐Pérez, Pablo; González-Cruz, Ma Carmen; Cañavate-Grimal, Antonio

doi:10.1016/j.ijproman.2012.01.008

Cited by 30 publications

(24 citation statements)

References 42 publications

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“…For example, high values of N tend to increase the correlation between the mean bid and the high and low bids in collective bid tender forecasting models (Ballesteros-Pérez et al, 2012;Shrestha & Pradhananga, 2010;Skitmore, 1981b) and the effect of the winner's curse (Capen et al, 1971, Skitmore, 2002. N has also recently been shown to be proportional to the amplitude of the bid standard deviation (Ballesteros-Pérez et al, 2015b).…”

Section: Introductionmentioning

confidence: 99%

Analysis of the distribution of the number of bidders in construction contract auctions

Ballesteros‐Pérez

González-Cruz

Bargues

et al. 2015

Construction Management and Economics

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The number of bidders, N, involved in a construction procurement auction is known to have an important effect on the value of the lowest bid and the mark up applied by bidders. In practice, for example, it is important for a bidder to have a good estimate of N when bidding for a current contract. One approach, instigated by Friedman in 1956, is to make such an estimate by statistical analysis and modelling. Since then, however, finding a suitable model for N has been an enduring problem for researchers and, despite intensive research activity in the subsequent thirty years little progress has been made -due principally to the absence of new ideas and perspectives. This paper resumes the debate by checking old assumptions, providing new evidence relating to concomitant variables and proposing a new model. In doing this and in order to assure universality, a novel approach is developed and tested by using a unique set of twelve construction tender databases from four continents. This shows the new model provides a significant advancement on previous versions.Several new research questions are also posed and other approaches identified for future study.

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Section: Introductionmentioning

confidence: 99%

Analysis of the distribution of the number of bidders in construction contract auctions

Ballesteros‐Pérez

González-Cruz

Bargues

et al. 2015

Construction Management and Economics

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“…Public procurement of construction works has a number of characteristics that distinguish it from the private sector [3,7] and at the same time give it a greater complexity [8][9][10].…”

Section: Introductionmentioning

confidence: 99%

A Methodology to Detect the Deviations of the Project's Budget Compared to Market Prices

Bargues¹,

González-Cruz²,

González-Gaya³

et al. 2015

ujm

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The budget of a project reflects the cost of the investment needed to build an infrastructure, install a system or acquire new materials or supplies. A well-formulated budget in accordance with market prices, allows contractors to prepare offers according to their technical, economic and financial characteristics. On the other hand, it avoids current philosophies that aim to get the contract at any price. Philosophies subsequently used to point out problems and claims during the execution of the project (contradictory prices, delays, etc.) in order to recover some or the entire economic bid carried out during the tendering. In this paper a simple and fast methodology is developed to check if the tendering price is in accordance with market prices, so that the economic viability of the project is not at risk. The application of the methodology on a sample of projects allows us to check the influence of the type of project (civil or building) on the characteristics of the budget. It also allows us to point out the insufficient economic endowment of the projects as the start of the subsequent problems during the execution of the work.

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“…In this connection, new developments in the area of Bid Tender Forecasting have enabled bidders to implement new kinds of easy-to-use tools for increasing their chances of winning contracts [34,35,36]. Although these new tools are genuinely designed for bidders in capped tendering (tenders with an upper limit on price), some of their principles can also be applied by a Contracting Authority to detect which bidders do not follow a regular pattern, that is, their bids are extremely high or low.…”

Section: Introductionmentioning

confidence: 99%

“…Finally, Ballesteros-Pérez et al [34,35,36] developed a Bid Tender Forecasting Model (BTFM) applicable to capped tendering. This model capitalizes on a new conception of analyzing bidder behavior and presents its results via three kinds of graphs: iso-Score Curve Graphs, Scoring Probability Graphs, and Position Probability Graphs.…”

Section: Introductionmentioning

confidence: 99%

Detecting abnormal and collusive bids in capped tendering

Ballesteros‐Pérez

González-Cruz

Cañavate-Grimal

et al. 2013

Automation in Construction

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Recent developments in the area of Bid Tender Forecasting have enabled bidders to implement new types of easy-to-use tools for increasing their chances of winning contracts. Although these new tools (such as iso-Score Curve Graphs, Scoring Probability Graphs, and Position Probability Graphs) are designed for bidders in capped tendering (tenders with an upper price limit), some of their principles can also be applied by a Contracting Authority to detect which bidders do not follow a standard pattern, that is, their bids are extremely high or low. Since a collusive bid generally needs to be sufficiently high or low to make an impact on the bid distribution, any person in charge of supervising capped tenders can be alerted to any bidder that might be involved in a cartel after identifying the same abnormal behavior in a series of tenders through simple calculations and a new type of graph.

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Mathematical relationships between scoring parameters in capped tendering

Cited by 30 publications

References 42 publications

Analysis of the distribution of the number of bidders in construction contract auctions

Analysis of the distribution of the number of bidders in construction contract auctions

A Methodology to Detect the Deviations of the Project's Budget Compared to Market Prices

Detecting abnormal and collusive bids in capped tendering

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