The increased availability of data in the facilities management space presents a new frontier for scaling RCM throughout a diverse array of commercial environments. While ubiquitous, IIoT and data alone will not maximize asset performance. Asset performance relies on a solid foundation of data standards. What types of foundations support data integrity and maximize life cycle asset performance? Although data itself cannot deliver reliability, understanding reliability at scale requires visibility of data that supports operations and maintenance activities consistently across diverse environments. Established knowledge must be converted to structured information to enable maintenance and performance assessment. While standardization is imperative, information systems must evolve with input from the field through procedures that preserve integrity and consistency. Optimizing performance of a maintenance program requires dedicated development and implementation functions that operate independently yet align on policies, procedures and standards. For development and implementation teams to collaborate effectively, the organization must establish procedures that implement programs in foundational building blocks with feedback loops informing program development. As collaboration matures, the image of sponsorship and engagement from a wide array of non-engineering stakeholders evolves toward an interest in reliability as a performance objective. Supporting business functions begin to recognize reliability and asset life as key value drivers once information is unified.
“R.A.I.” the Reliability.aiTMChatbot
You can ask "R.A.I." anything about maintenance, reliability, and asset management.