Título An application of economic model predictive control to inventory management in hospitals
Autores Maestre, J. M. , Fernandez, M. I. , JURADO FLORES, ISABEL
Publicación externa No
Alcance Article
Naturaleza Científica
Cuartil JCR 2
Cuartil SJR 1
Impacto JCR 3.232
Web https://www.scopus.com/inward/record.uri?eid=2-s2.0-85034773410&doi=10.1016%2fj.conengprac.2017.10.012&partnerID=40&md5=06c8618ea419390255f066efb6d6f979
Fecha de publicacion 01/02/2018
ISI 000424175400012
Scopus Id 2-s2.0-85034773410
DOI 10.1016/j.conengprac.2017.10.012
Abstract In this paper, we present experimental results from the application of model predictive control (MPC) to inventory management in a real hospital. In particular, the stock levels of ten different drugs that belong to the same laboratory have been controlled by using an MPC policy. The results obtained after four months show that the adopted approach outperforms the method employed by the hospital and reduces both the average stock levels and the work burden of the pharmacy department. This paper also paper presents some practical insights regarding the application of advanced control methods in this context. (C) 2017 Elsevier Ltd. All rights reserved.
Palabras clave Model predictive control; Hospital pharmacy
Miembros de la Universidad Loyola

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