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Found 3 papers, 1 papers with code
Dynamic AGV Task Allocation in Intelligent Warehouses
This paper explores the integration of Automated Guided Vehicles (AGVs) in warehouse order picking, a crucial and cost-intensive aspect of warehouse operations.
Neural Approximate Dynamic Programming for the Ultra-fast Order Dispatching Problem
Our work aims to enhance the operational efficiency of SDD by focusing on the ultra-fast Order Dispatching Problem (ODP), which involves matching and dispatching orders to couriers within a centralized warehouse setting, and completing the delivery within a strict timeline (e. g., within minutes).
Neur2SP: Neural Two-Stage Stochastic Programming
Stochastic Programming is a powerful modeling framework for decision-making under uncertainty.
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