Reinforcement learning approaches for specifying ordering policies of perishable inventory systems

Author:

Kara Ahmet,Dogan Ibrahim

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference35 articles.

1. An adaptive portfolio trading system: A risk-return portfolio optimization using recurrent reinforcement learning with expected maximum drawdown;Almahdi;Expert Systems with Applications,2017

2. A simulation-based approach for inventory modeling of perishable pharmaceuticals;Ana,2008

3. Review of inventory systems with deterioration since 2001;Bakker;European Journal of Operational Research,2012

4. Supply chain management of blood products: A literature review;Beliën;European Journal of Operational Research,2012

5. A heuristic to manage perishable inventory with batch ordering, positive lead-times, and time-varying demand;Broekmeulen;Computers and Operations Research,2009

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