Publication
An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy
Conference Article
Conference
IEEE Conference on Decision and Control (CDC)
Edition
53rd
Pages
5901-5906
Doc link
http://dx.doi.org/10.1109/CDC.2014.7040313
File
Authors
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Maestre Torreblanca, José María
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Velarde, Pablo
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Jurado, Isabel
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Ocampo Martínez, Carlos A.
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Isla Tejera, B.
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del Prado, BJ.
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.
Categories
control theory, optimisation, predictive control.
Author keywords
pharmacy stocks, MPC, chance constraints, robust control
Scientific reference
J.M. Maestre, P. Velarde, I. Jurado, C. Ocampo-Martínez, B. Isla and B. del Prado. An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy, 53rd IEEE Conference on Decision and Control, 2014, Los Angeles, pp. 5901-5906.
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