Adaptive AGV fleet management in a dynamically changing production environment

In the era of smart manufacturing, autonomous mobile robots have become affordable for numerous companies, although fleet management remains a challenging problem. A novel approach is proposed, supporting solution vehicle assignment The method relies on adaptive workstation clustering that considers not only complex environment layout, but also main characteristics material flow. technique combines network analytical and optimization tools with greedy algorithm refinement. implementation presented, impact techniques selected performance metrics are analyzed within series experiments, taken from an industrial case study.