An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy

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dc.contributor	Universitat Politècnica de Catalunya. Departament d'Enginyeria de Sistemes, Automàtica i Informàtica Industrial
dc.contributor	Universitat Politècnica de Catalunya. SAC - Sistemes Avançats de Control
dc.contributor.author	Maestre Torreblanca, José María
dc.contributor.author	Velarde, Pablo
dc.contributor.author	Jurado, Isabel
dc.contributor.author	Ocampo-Martínez, Carlos
dc.contributor.author	Isla Tejera, Beatriz
dc.contributor.author	del Prado, José Ramón
dc.date	2014
dc.identifier.citation	Maestre, J. [et al.]. An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy. A: IEEE Conference on Decision and Control. "2014 IEEE 53rd Annual Conference on Decision and Control (CDC)". Los Angeles: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 5901-5906.
dc.identifier.citation	978-1-4799-7746-8
dc.identifier.citation	10.1109/CDC.2014.7040313
dc.identifier.uri	http://hdl.handle.net/2117/28475
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=7040313
dc.rights	Attribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights	info:eu-repo/semantics/openAccess
dc.rights	http://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subject	Àrees temàtiques de la UPC::Informàtica::Automàtica i control
dc.subject	control theory
dc.subject	optimisation
dc.subject	predictive control
dc.subject	pharmacy stocks
dc.subject	MPC
dc.subject	chance constraints
dc.subject	robust control
dc.subject	Classificació INSPEC::Optimisation
dc.title	An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy
dc.type	info:eu-repo/semantics/submittedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Inventory management is one of the main tasks that the pharmacy department has to carry out in a hospital. It is a complex problem that requires to establish a tradeoff between different and contradictory optimization criteria. The complexity of the problem is increased due to the constraints that naturally arise in this type of applications. In this paper, which corresponds to preliminary works performed to implement advanced control techniques for pharmacy management in two Spanish hospitals, we propose and assess chance-constrained model predictive control (CC-MPC) as a mean to relieve this issue.
dc.description.abstract	Peer Reviewed

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