Simulation-optimization model for production planning in the blood supply chain

Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required f...

Full description

Autores:
Osorio Muriel, Andrés Felipe
Camacho Rodríguez, Bernardo A.
Smith, Honora K.
Forero MatizBernardo, Sonia P.
BrailsfordHonora K., Sally C.
Tipo de recurso:
Article of investigation
Fecha de publicación:
2017
Institución:
Universidad ICESI
Repositorio:
Repositorio ICESI
Idioma:
eng
OAI Identifier:
oai:repository.icesi.edu.co:10906/81439
Acceso en línea:
http://link.springer.com/article/10.1007/s10729-016-9370-6
http://hdl.handle.net/10906/81439
Palabra clave:
Planificación de la producción
Cadena de suministro
Systems engineering
Ingeniería de sistemas y comunicaciones
Simulación de modelos
Planificación de la producción
Rights
openAccess
License
https://creativecommons.org/licenses/by-nc-nd/4.0/
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oai_identifier_str oai:repository.icesi.edu.co:10906/81439
network_acronym_str ICESI2
network_name_str Repositorio ICESI
repository_id_str
dc.title.spa.fl_str_mv Simulation-optimization model for production planning in the blood supply chain
title Simulation-optimization model for production planning in the blood supply chain
spellingShingle Simulation-optimization model for production planning in the blood supply chain
Planificación de la producción
Cadena de suministro
Systems engineering
Ingeniería de sistemas y comunicaciones
Simulación de modelos
Planificación de la producción
title_short Simulation-optimization model for production planning in the blood supply chain
title_full Simulation-optimization model for production planning in the blood supply chain
title_fullStr Simulation-optimization model for production planning in the blood supply chain
title_full_unstemmed Simulation-optimization model for production planning in the blood supply chain
title_sort Simulation-optimization model for production planning in the blood supply chain
dc.creator.fl_str_mv Osorio Muriel, Andrés Felipe
Camacho Rodríguez, Bernardo A.
Smith, Honora K.
Forero MatizBernardo, Sonia P.
BrailsfordHonora K., Sally C.
dc.contributor.author.spa.fl_str_mv Osorio Muriel, Andrés Felipe
Camacho Rodríguez, Bernardo A.
Smith, Honora K.
Forero MatizBernardo, Sonia P.
BrailsfordHonora K., Sally C.
dc.subject.spa.fl_str_mv Planificación de la producción
Cadena de suministro
Systems engineering
Ingeniería de sistemas y comunicaciones
Simulación de modelos
Planificación de la producción
topic Planificación de la producción
Cadena de suministro
Systems engineering
Ingeniería de sistemas y comunicaciones
Simulación de modelos
Planificación de la producción
description Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution.
publishDate 2017
dc.date.accessioned.none.fl_str_mv 2017-05-16T02:45:37Z
dc.date.available.none.fl_str_mv 2017-05-16T02:45:37Z
dc.date.issued.none.fl_str_mv 2017-12-01
dc.type.spa.fl_str_mv info:eu-repo/semantics/article
dc.type.coar.none.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
dc.type.version.spa.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.issn.none.fl_str_mv 1386-9620
dc.identifier.other.none.fl_str_mv http://link.springer.com/article/10.1007/s10729-016-9370-6
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10906/81439
dc.identifier.instname.none.fl_str_mv instname: Universidad Icesi
dc.identifier.reponame.none.fl_str_mv reponame: Biblioteca Digital
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identifier_str_mv 1386-9620
instname: Universidad Icesi
reponame: Biblioteca Digital
repourl: https://repository.icesi.edu.co/
url http://link.springer.com/article/10.1007/s10729-016-9370-6
http://hdl.handle.net/10906/81439
dc.language.iso.spa.fl_str_mv eng
language eng
dc.relation.ispartof.none.fl_str_mv Health Care Management Science - 2016
dc.rights.uri.none.fl_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.accessrights.spa.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.license.none.fl_str_mv Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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Atribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)
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eu_rights_str_mv openAccess
dc.format.extent.spa.fl_str_mv 17 páginas
dc.format.medium.spa.fl_str_mv Digital
dc.coverage.spatial.spa.fl_str_mv Germany de Lat: 51 30 00 N degrees minutes Lat: 51.5000 decimal degrees Long: 010 30 00 E degrees minutes Long: 10.5000 decimal degrees
dc.publisher.spa.fl_str_mv Springer Verlag
dc.publisher.faculty.spa.fl_str_mv Facultad de Ingeniería
dc.publisher.program.spa.fl_str_mv Ingeniería Industrial
dc.publisher.department.spa.fl_str_mv Departamento Ingeniería Industrial
dc.publisher.place.spa.fl_str_mv Germany
institution Universidad ICESI
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spelling Osorio Muriel, Andrés FelipeCamacho Rodríguez, Bernardo A.Smith, Honora K.Forero MatizBernardo, Sonia P.BrailsfordHonora K., Sally C.Germany de Lat: 51 30 00 N degrees minutes Lat: 51.5000 decimal degrees Long: 010 30 00 E degrees minutes Long: 10.5000 decimal degrees2017-05-16T02:45:37Z2017-05-16T02:45:37Z2017-12-011386-9620http://link.springer.com/article/10.1007/s10729-016-9370-6http://hdl.handle.net/10906/81439instname: Universidad Icesireponame: Biblioteca Digitalrepourl: https://repository.icesi.edu.co/Production planning in the blood supply chain is a challenging task. Many complex factors such as uncertain supply and demand, blood group proportions, shelf life constraints and different collection and production methods have to be taken into account, and thus advanced methodologies are required for decision making. This paper presents an integrated simulation-optimization model to support both strategic and operational decisions in production planning. Discrete-event simulation is used to represent the flows through the supply chain, incorporating collection, production, storing and distribution.17 páginasDigitalengSpringer VerlagFacultad de IngenieríaIngeniería IndustrialDepartamento Ingeniería IndustrialGermanyHealth Care Management Science - 2016EL AUTOR, expresa que la obra objeto de la presente autorización es original y la elaboró sin quebrantar ni suplantar los derechos de autor de terceros, y de tal forma, la obra es de su exclusiva autoría y tiene la titularidad sobre éste. PARÁGRAFO: en caso de queja o acción por parte de un tercero referente a los derechos de autor sobre el artículo, folleto o libro en cuestión, EL AUTOR, asumirá la responsabilidad total, y saldrá en defensa de los derechos aquí autorizados; para todos los efectos, la Universidad Icesi actúa como un tercero de buena fe. Esta autorización, permite a la Universidad Icesi, de forma indefinida, para que en los términos establecidos en la Ley 23 de 1982, la Ley 44 de 1993, leyes y jurisprudencia vigente al respecto, haga publicación de este con fines educativos Todo persona que consulte ya sea la biblioteca o en medio electrónico podrá copiar apartes del texto citando siempre la fuentes, es decir el título del trabajo y el autor.https://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessAtribución-NoComercial-SinDerivadas 4.0 Internacional (CC BY-NC-ND 4.0)http://purl.org/coar/access_right/c_abf2Planificación de la producciónCadena de suministroSystems engineeringIngeniería de sistemas y comunicacionesSimulación de modelosPlanificación de la producciónSimulation-optimization model for production planning in the blood supply chaininfo:eu-repo/semantics/articlehttp://purl.org/coar/resource_type/c_2df8fbb1Artículoinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/version/c_970fb48d4fbd8a85Comunidad Universidad Icesi - Investigadores117ORIGINALosorio_simulation_optimization_2017.pdfosorio_simulation_optimization_2017.pdfapplication/pdf1131131http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81439/6/osorio_simulation_optimization_2017.pdfb644db8467f94674cdee2381cc41206cMD56LICENSElicense.txtlicense.txttext/plain1783http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81439/5/license.txta9bf6c9d51cc761c4b473f39f5bcb2eaMD55CC-LICENSElicense_urllicense_urltext/plain49http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81439/2/license_url4afdbb8c545fd630ea7db775da747b2fMD52license_textlicense_textapplication/octet-stream0http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81439/3/license_textd41d8cd98f00b204e9800998ecf8427eMD53license_rdflicense_rdfapplication/octet-stream0http://repository.icesi.edu.co/biblioteca_digital/bitstream/10906/81439/4/license_rdfd41d8cd98f00b204e9800998ecf8427eMD5410906/81439oai:repository.icesi.edu.co:10906/814392018-10-17 17:49:34.548Biblioteca Digital - Universidad icesicdcriollo@icesi.edu.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