Most assisted maintenance involves documented work instructions, but few of these instructions are directly integrated into maintenance technician tooling. Neither are they supported by AI predictive modelling designed to anticipate where maintenance is most likely to be needed next.
Goals and Objectives
Provide lower time and cost to repair, longer mean time between failure (MTBF) and higher first-time fix (FTF) rates, and lower factory downtime.
Innovation accelerators: IoT, AI, robots and drones, and augmented and virtual reality; pillars: Big Data and analytics, cloud services (SaaS, IaaS, and PaaS), and mobility (devices, software, and connectivity services)
Use Case Summary
Tracking, monitoring, and maintaining physical and digital assets to improve process efficiency and eliminate unnecessary maintenance