The study examines how AIOps, Robotic Process Automation (RPA) and autonomous service management can transform IT Service Management (ITSM) in smart factories. With the combination of these technologies, factories may deploy predictive maintenance and self-healing systems, which will guarantee sustained, effective functioning with minimum downtime. The paper underlines the importance of ITSM strategies as they improve service delivery especially in Industry 4.0 where automation and AI-powered processes play a critical role in ensuring operational agility. The methodology entails the use of real-life case studies of smart factories which have already implemented the innovations as well as performance evaluation measures to determine the effectiveness. The most important findings show that AIOps and RPA can dramatically increase the accuracy of predictive maintenance and operational performance, and autonomous service management minimizes manual interference and increases system resiliency. The study identifies the possibility of AI-based ITSM strategies to transform the nature of service delivery in much automated data-driven factory settings.
Adedotun Lawrence Omotade (Fri,) studied this question.