inventory management

Optimizing strategic personal protective equipment stockpiling: An assessment using Morris sensitivity analysis

This paper analyzes healthcare supply chain shortcomings during the COVID-19 pandemic, specifically in supplying personal protective equipment (PPE) to healthcare personnel. It addresses the need for effective PPE stockpile strategies, considering …

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

During the COVID-19 pandemic, healthcare facilities faced significant shortages of critical supplies like personal protective equipment, with dire repercussions. This study evaluates the potential role of decreased data visibility on these shortages, …

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, …

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.