Application of robust model predictive control to inventory management in hospitalary pharmacy

• Published in: Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) pp. 1 - 6
• Main Authors: Velarde, P., Maestre, J. M., Jurado, I., Fernandez, I., Tejera, B. Isla, del Prado, J. R.
• Format: Conference Proceeding
• Language: English
• Published: IEEE 01-09-2014
• Subjects: Drugs; Hospitals; Inventory management; Nickel; Optimization; Predictive control; Robustness
• ISSN: 1946-0740; 1946-0759
• DOI: 10.1109/ETFA.2014.7005056

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 robust and advanced control techniques for pharmacy management in two Spanish hospitals, we propose, assess and compare three robust model predictive control(Chance-Constraints, Multi-Scenarios approach and Tree-Based Methods) as a mean to relieve this issue.