A Predictive Maintenance Digital Thread Framework for Small Internet Service Providers: A Case Study of FAHNET Internet Services, Mumbai

This research paper presents an integrated Predictive Maintenance Digital Thread framework designed for FAHNET Internet Services, a growing Internet Service Provider (ISP) in Mumbai. The study identifies key operational challenges including unplanned downtime, limited visibility into network health, and inefficient reactive maintenance and proposes a scalable, data-driven solution. The framework incorporates IoT-based data acquisition, machine learning enabled predictive analytics, digital twin simulations, and cloud-integrated maintenance management. Findings indicate that the Digital Thread approach significantly enhances network reliability, reduces Mean Time to Repair (MTTR), optimizes resource utilization, and improves customer satisfaction. The proposed model provides a cost-effective implementation pathway suitable for small ISPs in emerging markets.