title: Chance-constrained model predictive control applied to inventory management in hospitalary pharmacy.
abstract: 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.
authors.affiliation: Departamento de Ingeniería de Sistemas y Automática, University of Seville, Camino de los Descubrimientos s/n, 41092 Seville, Spain.
authors.forename: Jose Maria
authors.initials: JM
authors.lastname: Maestre
authors.affiliation: Universitat Politècnica de Catalunya (UPC), Institut de Robòtica i Informàtica Industrial (CSIC-UPC), Carrer Llorens i Artigas, 4-6, 08028 Barcelona, Spain.
authors.forename: Carlos
authors.initials: C
authors.lastname: Ocampo-Martinez
mesh_terms: D003363:Cost Control / Q000379:methods*; D003415:Crime / Q000517:prevention & control*; D006801:Humans; D007445:Inventories, Hospital / Q000379:methods*; D010607:Pharmacy Service, Hospital / Q000458:organization & administration*