IRI - Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy

Publication

Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy

Conference Article

Conference

KES International Conference on Innovation in Medicine and Healthcare (INMED)

Edition

2nd

Pages

410-413

Doc link

http://dx.doi.org/10.3233/978-1-61499-474-9-410

File

Download the digital copy of the doc pdf document

Authors

Maestre Torreblanca, José María
Ocampo Martínez, Carlos A.

Abstract

This chapter addresses the preliminary results of applying uncertainty handling strategies and advanced control techniques to the inventary management of hospitality pharmacy. Inventory management is one of the main tasks that a pharmacy department has to carry out in a hospital. It is a complex problem because it requires to establish a tradeoff between contradictory optimization criteria. The final goal of the proposed research is to update the inventory management system of hospitals such that it is possible to reduce the average inventory while maintaining preestablished clinical guarantees.

Author keywords

pharmacy inventary management, uncertainty handling, model predictive control, optimization

Scientific reference

J.M. Maestre and C. Ocampo-Martínez. Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy, 2nd KES International Conference on Innovation in Medicine and Healthcare, 2014, San Sebastian, in Innovation in Medicine and Healthcare 2014, Vol 207 of Studies in Health Technology and Informatics, pp. 410-413, 2014, IOS Press.