Where do we start? guidance for technology implementation in maintenance management for manufacturing

Recent efforts in Smart Manufacturing (SM) have provenquite effective at elucidating system behavior using sensing systems, communications and computational platforms, along withstatistical methods to collect and analyze real-time performancedata. However, how do you effectively select where and whento implement these technology solutions within manufacturingoperations? Furthermore, how do you account for the humandriven activities in manufacturing when inserting new technologies? Due to a reliance on human problem solving skills, today's maintenance operations are largely manual processes without wide-spread automation. The current state-of-the-art maintenance management systems and out-of-the-box solutions do notdirectly provide necessary synergy between human and technol-ogy, and many paradigms ultimately keep the human and digitalknowledge systems separate. Decision makers are using one orthe other on a case-by-case basis, causing both human and machine to cannibalize each other's function, leaving both disadvantaged despite ultimately having common goals.