Mathematical relationships between scoring parameters in capped tendering

[EN] Mathematical relationships between Scoring Parameters can be used in Economic Scoring Formulas (ESF) in tendering to distribute the score among bidders in the economic part of a proposal.Each contracting authority must set an ESF when publishing tender specifications and the strategy of each bi...

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Bibliographic Details
Authors: Ballesteros-Pérez, Pablo|||0000-0002-4629-9664, González-Cruz, María-Carmen|||0000-0002-6987-5732, Cañavate-Grimal, Antonio
Format: article
Publication Date:2012
Country:España
Institution:Universitat Politècnica de València (UPV)
Repository:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Language:English
OAI Identifier:oai:riunet.upv.es:10251/136499
Online Access:https://riunet.upv.es/handle/10251/136499
Access Level:Open access
Keyword:Auction
Bid
Construction
Scoring system
Tender
Contracting authorities
Density distributions
Forecasting models
Mathematical relationship
Scoring systems
Innovation
Project management
Forecasting
Construction industry
Forecasting method
Industrial practice
Project assessment
INGENIERIA DEL TERRENO
PROYECTOS DE INGENIERIA
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Summary:[EN] Mathematical relationships between Scoring Parameters can be used in Economic Scoring Formulas (ESF) in tendering to distribute the score among bidders in the economic part of a proposal.Each contracting authority must set an ESF when publishing tender specifications and the strategy of each bidder will differ depending on the ESF selected and the weight of the overall proposal scoring.This paper introduces the various mathematical relationships and density distributions that describe and inter-relate not only the main Scoring Parameters but the main Forecasting Parameters in any capped tender (those whose price is upper-limited).Forecasting Parameters, as variables that can be known in advance before the deadline of a tender is reached, together with Scoring Parameters constitute the basis of a future Bid Tender Forecasting Model. © 2012 Elsevier Ltd. APM and IPMA.