Switching mechanism of dynamic hybrid control multi-agent system in manufacturing environment

Current expectations demand that manufacturing control systems exhibit enhanced flexibility and agility. Concurrently, using a multi-agent manufacturing system has been regarded as a crucial strategy for addressing the challenges associated with dynamics and unpredictability within the setting of part processing. This paper presents a novel switching mechanism for a hybrid control multi-agent system. The proposed hybrid control model combines the benefits of semi-heterarchical and hierarchical structures, enabling the successful implementation of adaptive control strategies. The aim is to enhance the implementation of a multi-agent control system in a dynamic manufacturing environment. This study checks how well the suggested switching mechanism in a hybrid control multi-agent system by examining its performance across many metrics, including processing time, throughput, cycle time, and utilization of resources. The results show that a semi-heterarchical control architecture system has superior outcomes to a hierarchical control structure. The evaluation of a production control policy typically necessitates the utilization of simulation modeling, as it involves complex interactions. In this regard, the Matlab 2022/Simulink software package was employed. This study was conducted in response to the limited number of comprehensive studies that have described the implementation of this particular program.