Título An Application of Chance-Constrained Model Predictive Control to Inventory Management in Hospitalary Pharmacy
Autores Maestre, J. M. , VELARDE RUEDA, PABLO ANIBAL, JURADO FLORES, ISABEL, Ocampo-Martinez, C. , Fernandez, I. , Isla Tejera, B. , del Prado, J. R.
Publicación externa Si
Medio Proc IEEE Conf Decis Control
Alcance Proceedings Paper
Naturaleza Científica
Fecha de publicacion 01/01/2014
ISI 000370073806013
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.
Miembros de la Universidad Loyola

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