The Port of Rotterdam is a key container transshipment hub for Europe. Inland container shipping is important to connect the hinterland (40% market share). Barges visit several terminals per round-trip through the Port, thus requiring a proper planning support to avoid planning problems such as...

We apply Multi-Agent Deep Reinforcement Learning (MADRL) to inventory management problems with multiple echelons and evaluate MADRL's performance to minimize the overall costs of a supply chain. We also examine whether the upfront-only information-sharing mechanism used in MADRL helps alleviate...

Operations Management endeavors to identify polices that improve real-world operating systems. However, these systems often consist of actors that do not behave fully rationally and to improve performance managers must predict how such boundedly-rational actors will behave. Approaches to this...

Problem definition: We study the procurement decisions of a trade agent: The agent chooses a bid (unit price to pay) to procure the goods available from seller(s). If the agent wins the bid, the supply is used to meet the buyer’s demand. Methodology/results: The trade agent’s single-period,...

The rapid growth of e-commerce in the recent pandemic is driven by the wide adoption of digitization, extensive use of smartphones, affordable internet services, and the convenience of shopping from anywhere and anytime. Some key indexes for measuring the performance of the e-commerce...