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Título

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

AutorMaestre, Jose Maria; Ocampo-Martinez, Carlos; Prado, J. R. del
Fecha de publicación2014
EditorInstitute of Electrical and Electronics Engineers
CitaciónIEEE 53rd Conference on Decision and Control (CDC): 5901-5906 (2014)
ResumenInventory 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.
DescripciónTrabajo presentado a la 53rd IEEE Conference on Decision and Control (CDC 2014), celebrada del 15 al 17 de diciembre en Los Angeles, California (US).-- et al.
Versión del editorhttp://dx.doi.org/10.1109/CDC.2014.7040313
URIhttp://hdl.handle.net/10261/127311
DOI10.1109/CDC.2014.7040313
Identificadoresdoi: 10.1109/CDC.2014.7040313
isbn: 978-1-4799-7746-8
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