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

Download the digital copy of the doc pdf document

Authors

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.