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

@article{Velarde2014ApplicationOR,
  title={Application of robust model predictive control to inventory management in hospitalary pharmacy},
  author={Pablo Velarde and Jos{\'e} Mar{\'i}a Maestre Torreblanca and Isabel Jurado and I. Fernandez and B. Isla Tejera and J. R. del Prado Llergo},
  journal={Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)},
  year={2014},
  pages={1-6}
}
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… Expand

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References

SHOWING 1-10 OF 12 REFERENCES
Application of robustified Model Predictive Control to a production-inventory system
TLDR
A trade-off between robust stability towards parametric uncertainties and nominal performances for the nominal system is highlighted, and a convex optimization problem is solved with LMI tools. Expand
A novel model predictive control algorithm for supply chain management in semiconductor manufacturing
Supply chains in semiconductor manufacturing are characterized by integrating dynamics, nonlinearity and high levels of stochasticity. In this paper, we present a novel model predictive control (MPC)Expand
A model predictive control strategy for supply chain management in semiconductor manufacturing under uncertainty
Model predictive control (MPC) is presented as a tactical decision module for supply chain management in semiconductor manufacturing. A representative problem which includes distinguishing featuresExpand
Model Reference Control in Inventory and Supply Chain Management - The Implementation of a More Suitable Cost Function
A method of model reference control is investigated in this study in order to present a more suitable method of controlling an inventory or a supply chain. The problem of difficult determining of theExpand
Model predictive control in the process industry
Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing theExpand
Quantitative Models for Supply Chain Management
From the Publisher: Quantitative models and computer based tools are essential for making decisions in today's business environment. These tools are of particular importance in the rapidly growingExpand
Distributed model predictive control based on a cooperative game
TLDR
This work provides sufficient conditions that guarantee practical stability of the closed-loop system as well as an optimization-based procedure to design the controller so that these conditions are satisfied. Expand
Handbook Of Logistics And Supply Chain Management
David Muñoz de la Peña
  • and E. F. Camacho. Distributed model predictive control based on a cooperative game. Optimal Control Applications and Methods
  • 2010
and D
  • Rodrı́guez-Ayerbe, P.and Dumur. Application of robustified model predictive control to a production-inventory system. In Proceedings of the 48th conferece on decision and control
  • 2009
...
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2
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