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
Authors
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Maestre Torreblanca, José María
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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.
Categories
automation, optimisation, stochastic programming.
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.
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