A SELF-ORGANIZED MULTI-AGENT SYSTEM WITH INDUSTRY 4.0 COORDINATION AND BIG DATA BASED FEEDBACK

Abstract

The widespread use of cyber-physical systems heralds the arrival of Industry 4.0, the next phase of industrialization. The drive for vertical factory integration is a defining feature of Industry 4.0, which aims to build ``smart factories`` capable of utilizing adaptable and dynamic production technology. Here we showcase a smart factory architecture that combines smart shop-floor items like machines, conveyors, and goods with smart industrial networks, clouds, and supervisory control interfaces. We next explain a cloud-based coordinator and categorize smart objects into several kinds of agents. Agents` distributed cooperation and autonomous decision-making are the driving forces behind the process`s great flexibility. To top it all off, the central coordinator`s input and coordination are key to this self-organized system`s great efficiency. In conclusion, the self-organizing multi-agent system that takes input into account and uses big data to coordinate its activities is what defines a smart factory. On the basis of this paradigm, we provide an intelligent method for agents to negotiate and work together. More than that, the research shows that deadlocks can be avoided by enhancing the coordinator`s and agents` decision-making abilities through the use of complementing techniques. You can see how well the proposed negotiating mechanism and techniques to avoid impasse work in the simulation results.