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pro vyhledávání: '"Kotecha, Niki"'
Inventory control in modern supply chains has attracted significant attention due to the increasing number of disruptive shocks and the challenges posed by complex dynamics, uncertainties, and limited collaboration. Traditional methods, which often r
Externí odkaz:
http://arxiv.org/abs/2410.18631
Autor:
Bloor, Maximilian, Ahmed, Akhil, Kotecha, Niki, Mercangöz, Mehmet, Tsay, Calvin, Chanona, Ehecactl Antonio Del Rio
This work proposes a control-informed reinforcement learning (CIRL) framework that integrates proportional-integral-derivative (PID) control components into the architecture of deep reinforcement learning (RL) policies. The proposed approach augments
Externí odkaz:
http://arxiv.org/abs/2408.13566
Autor:
Mousa, Marwan, van de Berg, Damien, Kotecha, Niki, del Rio-Chanona, Ehecatl Antonio, Mowbray, Max
Most solutions to the inventory management problem assume a centralization of information that is incompatible with organisational constraints in real supply chain networks. The inventory management problem is a well-known planning problem in operati
Externí odkaz:
http://arxiv.org/abs/2307.11432
Autor:
Mousa, Marwan, van de Berg, Damien, Kotecha, Niki, del Rio Chanona, Ehecatl Antonio, Mowbray, Max
Publikováno v:
In Computers and Chemical Engineering September 2024 188
Publikováno v:
In IFAC PapersOnLine 2024 58(14):598-603
Autor:
Bloor, Maximilian, Ahmed, Akhil, Kotecha, Niki, Tsay, Calvin, Mercangöz, Mehmet, del Rio-Chanona, Antonio
Publikováno v:
In Computer Aided Chemical Engineering 2024 53:1639-1644
Autor:
Flavio Manenti, G.V. Rex Reklaitis
The 34th European Symposium on Computer Aided Process Engineering / 15th International Symposium on Process Systems Engineering, contains the papers presented at the 34th European Symposium on Computer Aided Process Engineering / 15th International S