Disruptions in the process industry often cause longer downtime and less effective operations. In the case of automated operations, when mistakes have the potential to significantly affect product quality and cost, this is especially important to keep in mind. Human immune system research has been used as a starting point for solutions to this problem. An AIS can be created to identify and segregate problems in the manufacturing process in the same way that our B and T cells identify and eliminate infectious microbes in the human body. Protégé was used to create an ontology focused on the immune system. The AIS model is preprogrammed to identify interruptions and launch an immediate countermeasure. The model can dynamically adapt its response to the unique interruption it meets by allocating weights to different criteria. Fifteen input/output factors affecting process downtime, system efficiency, and consumer-centric value were evaluated to put this approach to the test. They tested how well the AIS concept worked in a lab setting. As a result, this method offers a potentially fruitful way to enhance the effectiveness and dependability of automated operations in the process industry.

Index Terms- Human immune system, Alarm trip point, disruption, Smart manufacturing system