Selected publications on AGV scheduling, dispatching, simulation-based decision-making, and digital platforms for manufacturing intralogistics.
A digital platform for serving multiple tenants of Brainport Industries Campus sharing a fleet of heterogeneous automated guided vehicles. The platform combines an order-input UI, an order database, and a central cloud server housing the dispatching intelligence.
View publicationReal-time dispatching of an AGV fleet with battery constraints, formulated as a Markov Decision Process and solved with deep reinforcement learning. AGVs must be assigned to randomly arriving transport requests under stochastic demand.
View publicationScheduling automated guided vehicles with battery constraints, where each transport request involves a soft time window and the AGV fleet is heterogeneous in capabilities and travel costs.
View publicationReal-time dispatching of a heterogeneous AGV fleet with battery constraints. An AGV-specific linear dispatching rule is learned to assign vehicles to randomly arriving transport requests, minimising a weighted sum of tardiness and travel costs. Validated on real-world data from an industry partner.
View publicationScheduling transport requests on multi-load and multi-ability AGVs with battery management — addressing the increasing complexity of modern intralogistics fleets and their limited battery capacity.
View publicationHybrid simulation modelling of KMWE's Tool Service Center to assess the impact of input uncertainties (operator productivity, vertical storage height) on throughput. The outcomes drove an investment decision on AS/RS equipment acquisition.
View publicationFor an up-to-date list, see Google Scholar (link to be added).