inventory management

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

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

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, …

Solving multi-echelon inventory management problems with deep reinforcement learning (IWLS)

A technical talk on reinforcement learning for inventory control.

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

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

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

A technical talk on reinforcement learning for inventory control.

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

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