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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Detalhes bibliográficos
Autores: Ballesteros-Pérez, Pablo|||0000-0002-4629-9664, González-Cruz, María-Carmen|||0000-0002-6987-5732, Cañavate-Grimal, Antonio
Formato: artículo
Fecha de publicación:2012
País:España
Recursos:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/136499
Acesso em linha:https://riunet.upv.es/handle/10251/136499
Access Level:acceso abierto
Palavra-chave: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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oai_identifier_str oai:riunet.upv.es:10251/136499
network_acronym_str ES
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spelling Mathematical relationships between scoring parameters in capped tenderingBallesteros-Pérez, Pablo|||0000-0002-4629-9664González-Cruz, María-Carmen|||0000-0002-6987-5732Cañavate-Grimal, AntonioAuctionBidConstructionScoring systemTenderContracting authoritiesDensity distributionsForecasting modelsMathematical relationshipScoring systemsInnovationProject managementForecastingConstruction industryForecasting methodIndustrial practiceProject assessmentINGENIERIA DEL TERRENOPROYECTOS DE INGENIERIA[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.ElsevierDepartamento de Proyectos de IngenieríaEscuela Técnica Superior de Ingeniería IndustrialCentro de Investigación en Dirección de Proyectos, Innovación y Sostenibilidad (PRINS)Repositorio Institucional de la Universitat Politècnica de València Riunet20122012-01-01journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfapplication/pdfhttps://riunet.upv.es/handle/10251/136499reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Reserva de todos los derechoshttp://rightsstatements.org/vocab/InC/1.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1364992026-06-13T07:49:27Z
dc.title.none.fl_str_mv Mathematical relationships between scoring parameters in capped tendering
title Mathematical relationships between scoring parameters in capped tendering
spellingShingle Mathematical relationships between scoring parameters in capped tendering
Ballesteros-Pérez, Pablo|||0000-0002-4629-9664
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
title_short Mathematical relationships between scoring parameters in capped tendering
title_full Mathematical relationships between scoring parameters in capped tendering
title_fullStr Mathematical relationships between scoring parameters in capped tendering
title_full_unstemmed Mathematical relationships between scoring parameters in capped tendering
title_sort Mathematical relationships between scoring parameters in capped tendering
dc.creator.none.fl_str_mv Ballesteros-Pérez, Pablo|||0000-0002-4629-9664
González-Cruz, María-Carmen|||0000-0002-6987-5732
Cañavate-Grimal, Antonio
author Ballesteros-Pérez, Pablo|||0000-0002-4629-9664
author_facet Ballesteros-Pérez, Pablo|||0000-0002-4629-9664
González-Cruz, María-Carmen|||0000-0002-6987-5732
Cañavate-Grimal, Antonio
author_role author
author2 González-Cruz, María-Carmen|||0000-0002-6987-5732
Cañavate-Grimal, Antonio
author2_role author
author
dc.contributor.none.fl_str_mv Departamento de Proyectos de Ingeniería
Escuela Técnica Superior de Ingeniería Industrial
Centro de Investigación en Dirección de Proyectos, Innovación y Sostenibilidad (PRINS)
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv 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
topic 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
description [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.
publishDate 2012
dc.date.none.fl_str_mv 2012
2012-01-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/136499
url https://riunet.upv.es/handle/10251/136499
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reserva de todos los derechos
http://rightsstatements.org/vocab/InC/1.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
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