Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy
Document typeConference report
Rights accessOpen Access
This extended abstract 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.
CitationMaestre, J.; Ocampo-Martinez, C.A. Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy. A: KES International Conference on Innovation in Medicine and Healthcare. "Studies in Health Technology and Informatics". San Sebastian: 2014, p. 410-412.