Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1

This paper presents and describes the most relevant methods for the solution of the Resource Constrained Project Scheduling Problem, RCPSP. A critical review of the state of the art, based on the most signicant papers published in the academic literature

Autores:
Morillo, Daniel
Moreno, Luis
Díaz, Javier
Tipo de recurso:
Fecha de publicación:
2014
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/14393
Acceso en línea:
http://hdl.handle.net/10784/14393
Palabra clave:
Task Scheduling
Constrained Resources
Heuristic Methods
Exact Methods
Programación De Tareas
Recursos Limitados
Métodos Heurísticos
Métodos Exactos
Rights
License
Copyright (c) 2014 Daniel Morillo, Luis Moreno, Javier Díaz
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2014-01-312019-11-22T16:48:32Z2014-01-312019-11-22T16:48:32Z2256-43141794-9165http://hdl.handle.net/10784/1439310.17230/ingciencia.10.19.12This paper presents and describes the most relevant methods for the solution of the Resource Constrained Project Scheduling Problem, RCPSP. A critical review of the state of the art, based on the most signicant papers published in the academic literatureEste documento presenta y describe los métodos más relevantes para la solución del Problema de Programación de Proyecto de Recursos Restringidos, RCPSP. Se realiza una revisión crítica del estado del arte, basada en los trabajos más significativos publicaapplication/pdfspaUniversidad EAFIThttp://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1982http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1982Copyright (c) 2014 Daniel Morillo, Luis Moreno, Javier DíazAcceso abiertohttp://purl.org/coar/access_right/c_abf2instname:Universidad EAFITreponame:Repositorio Institucional Universidad EAFITIngeniería y Ciencia; Vol 10, No 19 (2014)Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1Metodologías Analíticas y Heurísticas para la Solución del Problema de Programación de Tareas con Recursos Restringidos (RCPSP): una revisión Parte 1articleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículos de revisiónhttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Task SchedulingConstrained ResourcesHeuristic MethodsExact MethodsProgramación De TareasRecursos LimitadosMétodos HeurísticosMétodos ExactosMorillo, DanielMoreno, LuisDíaz, JavierUniversitat Politècnica de ValènciaUniversidad Nacional de ColombiaUniversidad Nacional de ColombiaIngeniería y Ciencia1019247271ing.cienc.THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/bd77af77-88a0-42b7-a943-12cefc3696cc/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL12.pdf12.pdfTexto completo PDFapplication/pdf676366https://repository.eafit.edu.co/bitstreams/c82eb0f0-8295-491c-bff4-70001a662755/downloade378b95100e5ebf3bf6fbefa158cecf7MD52articulo.htmlarticulo.htmlTexto completo HTMLtext/html374https://repository.eafit.edu.co/bitstreams/a456eb59-0b5b-4dda-b015-95227f8a112b/download70801d60be3e555bd098482420c46e37MD5310784/14393oai:repository.eafit.edu.co:10784/143932020-03-01 23:43:25.69open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co
dc.title.eng.fl_str_mv Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
dc.title.spa.fl_str_mv Metodologías Analíticas y Heurísticas para la Solución del Problema de Programación de Tareas con Recursos Restringidos (RCPSP): una revisión Parte 1
title Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
spellingShingle Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
Task Scheduling
Constrained Resources
Heuristic Methods
Exact Methods
Programación De Tareas
Recursos Limitados
Métodos Heurísticos
Métodos Exactos
title_short Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
title_full Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
title_fullStr Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
title_full_unstemmed Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
title_sort Analytic and Heuristic Methodologies for Solving the Resource Constrained Project Scheduling Problem (RCPSP): a review Part 1
dc.creator.fl_str_mv Morillo, Daniel
Moreno, Luis
Díaz, Javier
dc.contributor.author.spa.fl_str_mv Morillo, Daniel
Moreno, Luis
Díaz, Javier
dc.contributor.affiliation.spa.fl_str_mv Universitat Politècnica de València
Universidad Nacional de Colombia
Universidad Nacional de Colombia
dc.subject.keyword.eng.fl_str_mv Task Scheduling
Constrained Resources
Heuristic Methods
Exact Methods
topic Task Scheduling
Constrained Resources
Heuristic Methods
Exact Methods
Programación De Tareas
Recursos Limitados
Métodos Heurísticos
Métodos Exactos
dc.subject.keyword.spa.fl_str_mv Programación De Tareas
Recursos Limitados
Métodos Heurísticos
Métodos Exactos
description This paper presents and describes the most relevant methods for the solution of the Resource Constrained Project Scheduling Problem, RCPSP. A critical review of the state of the art, based on the most signicant papers published in the academic literature
publishDate 2014
dc.date.issued.none.fl_str_mv 2014-01-31
dc.date.available.none.fl_str_mv 2019-11-22T16:48:32Z
dc.date.accessioned.none.fl_str_mv 2019-11-22T16:48:32Z
dc.date.none.fl_str_mv 2014-01-31
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
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http://purl.org/coar/resource_type/c_2df8fbb1
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status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 2256-4314
1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/14393
dc.identifier.doi.none.fl_str_mv 10.17230/ingciencia.10.19.12
identifier_str_mv 2256-4314
1794-9165
10.17230/ingciencia.10.19.12
url http://hdl.handle.net/10784/14393
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dc.relation.uri.none.fl_str_mv http://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/1982
dc.rights.eng.fl_str_mv Copyright (c) 2014 Daniel Morillo, Luis Moreno, Javier Díaz
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.local.spa.fl_str_mv Acceso abierto
rights_invalid_str_mv Copyright (c) 2014 Daniel Morillo, Luis Moreno, Javier Díaz
Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.eng.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.none.fl_str_mv instname:Universidad EAFIT
reponame:Repositorio Institucional Universidad EAFIT
dc.source.spa.fl_str_mv Ingeniería y Ciencia; Vol 10, No 19 (2014)
instname_str Universidad EAFIT
institution Universidad EAFIT
reponame_str Repositorio Institucional Universidad EAFIT
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