2024-03-29T11:01:11Zhttp://digital.csic.es/dspace-oai/requestoai:digital.csic.es:10261/1273112019-06-11T07:05:11Zcom_10261_106com_10261_4col_10261_1241
Maestre, Jose Maria
Ocampo-MartÃnez, Carlos
Prado, J. R. del
2016-01-05T13:50:59Z
2016-01-05T13:50:59Z
2014
IEEE 53rd Conference on Decision and Control (CDC): 5901-5906 (2014)
http://hdl.handle.net/10261/127311
10.1109/CDC.2014.7040313
http://dx.doi.org/10.13039/501100011011
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.
eng
openAccess
An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy
comunicación de congreso