Stock management in hospital pharmacy using chance-constrained model predictive control

One of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The complexity of the problem resides in the random nature of the drug demand and t...

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Autores: Jurado, Isabel, Maestre Torreblanca, José María, Velarde, Pablo, Ocampo-Martínez, Carlos|||0000-0001-9251-6044, Fernandez, Isabel, Isla Tejera, Beatriz, del Prado, José Ramón
Tipo de recurso: artículo
Fecha de publicación:2016
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/89382
Acceso en línea:https://hdl.handle.net/2117/89382
https://dx.doi.org/10.1016/j.compbiomed.2015.11.011
Access Level:acceso abierto
Palabra clave:control system synthesis
control theory
optimisation
predictive control
hospital pharmacy
inventory management
model predictive control
chance constraints
Classificació INSPEC::Control theory::Control system synthesis
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
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repository_id_str
spelling Stock management in hospital pharmacy using chance-constrained model predictive controlJurado, IsabelMaestre Torreblanca, José MaríaVelarde, PabloOcampo-Martínez, Carlos|||0000-0001-9251-6044Fernandez, IsabelIsla Tejera, Beatrizdel Prado, José Ramóncontrol system synthesiscontrol theoryoptimisationpredictive controlhospital pharmacyinventory managementmodel predictive controlchance constraintsClassificació INSPEC::Control theory::Control system synthesisÀrees temàtiques de la UPC::Informàtica::Automàtica i controlOne of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The complexity of the problem resides in the random nature of the drug demand and the multiple constraints that must be taken into account in every decision. In this article, chance-constrained model predictive control is proposed to deal with this problem. The flexibility of model predictive control allows taking into account explicitly the different objectives and constraints involved in the problem while the use of chance constraints provides a trade-off between conservativeness and efficiency. The solution proposed is assessed to study its implementation in two Spanish hospitalsPeer ReviewedElsevier20162016-05-0120162016-08-24journal articlehttp://purl.org/coar/resource_type/c_6501AMhttp://purl.org/coar/version/c_ab4af688f83e57aainfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/2117/89382https://dx.doi.org/10.1016/j.compbiomed.2015.11.011reponame:UPCommons. Portal del coneixement obert de la UPCinstname:Universitat Politècnica de Catalunya (UPC)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2http://creativecommons.org/licenses/by-nc-nd/3.0/es/info:eu-repo/semantics/openAccessoai:upcommons.upc.edu:2117/893822026-05-27T15:37:01Z
dc.title.none.fl_str_mv Stock management in hospital pharmacy using chance-constrained model predictive control
title Stock management in hospital pharmacy using chance-constrained model predictive control
spellingShingle Stock management in hospital pharmacy using chance-constrained model predictive control
Jurado, Isabel
control system synthesis
control theory
optimisation
predictive control
hospital pharmacy
inventory management
model predictive control
chance constraints
Classificació INSPEC::Control theory::Control system synthesis
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
title_short Stock management in hospital pharmacy using chance-constrained model predictive control
title_full Stock management in hospital pharmacy using chance-constrained model predictive control
title_fullStr Stock management in hospital pharmacy using chance-constrained model predictive control
title_full_unstemmed Stock management in hospital pharmacy using chance-constrained model predictive control
title_sort Stock management in hospital pharmacy using chance-constrained model predictive control
dc.creator.none.fl_str_mv Jurado, Isabel
Maestre Torreblanca, José María
Velarde, Pablo
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Fernandez, Isabel
Isla Tejera, Beatriz
del Prado, José Ramón
author Jurado, Isabel
author_facet Jurado, Isabel
Maestre Torreblanca, José María
Velarde, Pablo
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Fernandez, Isabel
Isla Tejera, Beatriz
del Prado, José Ramón
author_role author
author2 Maestre Torreblanca, José María
Velarde, Pablo
Ocampo-Martínez, Carlos|||0000-0001-9251-6044
Fernandez, Isabel
Isla Tejera, Beatriz
del Prado, José Ramón
author2_role author
author
author
author
author
author
dc.subject.none.fl_str_mv control system synthesis
control theory
optimisation
predictive control
hospital pharmacy
inventory management
model predictive control
chance constraints
Classificació INSPEC::Control theory::Control system synthesis
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
topic control system synthesis
control theory
optimisation
predictive control
hospital pharmacy
inventory management
model predictive control
chance constraints
Classificació INSPEC::Control theory::Control system synthesis
Àrees temàtiques de la UPC::Informàtica::Automàtica i control
description One of the most important problems in the pharmacy department of a hospital is stock management. The clinical needs of drugs must be satisfied with limited work labor while minimizing the use of economical resources. The complexity of the problem resides in the random nature of the drug demand and the multiple constraints that must be taken into account in every decision. In this article, chance-constrained model predictive control is proposed to deal with this problem. The flexibility of model predictive control allows taking into account explicitly the different objectives and constraints involved in the problem while the use of chance constraints provides a trade-off between conservativeness and efficiency. The solution proposed is assessed to study its implementation in two Spanish hospitals
publishDate 2016
dc.date.none.fl_str_mv 2016
2016-05-01
2016
2016-08-24
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
AM
http://purl.org/coar/version/c_ab4af688f83e57aa
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://hdl.handle.net/2117/89382
https://dx.doi.org/10.1016/j.compbiomed.2015.11.011
url https://hdl.handle.net/2117/89382
https://dx.doi.org/10.1016/j.compbiomed.2015.11.011
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

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
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

http://creativecommons.org/licenses/by-nc-nd/3.0/es/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:UPCommons. Portal del coneixement obert de la UPC
instname:Universitat Politècnica de Catalunya (UPC)
instname_str Universitat Politècnica de Catalunya (UPC)
reponame_str UPCommons. Portal del coneixement obert de la UPC
collection UPCommons. Portal del coneixement obert de la UPC
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 15.300719

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