inventory management

Solving multi-echelon inventory problems using deep reinforcement learning with centralized control (CORS)

A technical talk on the use of reinforcement learning for inventory management.

The effect of visibility on forecast and inventory management performance during the COVID-19 pandemic

During the COVID-19 pandemic, healthcare organizations suffered a shortage of essential medical supplies, such as personal protective equipment, which resulted in severe consequences. This study aims to assess the impact of one potential factor for …

The effect of visibility on forecast and inventory management performance during the COVID-19 pandemic: Final results (CORS)

A technical talk on a the impact of visibility on inventory management performance.

Solving multi-echelon inventory problems with heuristic-guided deep reinforcement learning and centralized control (CORS)

A technical talk on reinforcement learning for inventory control.

Solving multi-echelon inventory problems with heuristic-guided deep reinforcement learning and centralized control (JOPT)

A technical talk on reinforcement learning for inventory control.

Integration of machine learning and operations research to solve more realistic problems (CIRRELT)

An overview talk of past and current research.

Solving multi-echelon inventory problems with heuristic-guided deep reinforcement learning and centralized control

Multi-echelon inventory models aim to minimize the system-wide total cost in a multi-stage supply chain by applying a proper ordering policy to each of the stages. In a practical inventory system when backlog costs can be incurred in multiple stages, …