An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy
Document typeConference report
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessOpen Access
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.
CitationMaestre, J. [et al.]. An application of chance-constrained model predictive control to inventory management in hospitalary pharmacy. A: IEEE Conference on Decision and Control. "2014 IEEE 53rd Annual Conference on Decision and Control (CDC)". Los Angeles: Institute of Electrical and Electronics Engineers (IEEE), 2014, p. 5901-5906.