Metric of the Month: Digital Manufacturing and the Use of the Internet of Things

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Metric of the Month: Digital Manufacturing and the Use of the Inte
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IoT for predictive asset maintenance and condition monitoring
IoT for detecting and managing unplanned production issues

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APQC has gathered and analyzed information from 626 global organizations about their manufacturing practices, focusing on digitalization and the adoption of emerging technologies.
One caveat is that IoT systems don’t work unless there is a data management and analysis strategy to do something with the vast amounts of data collected by the sensors.
IoT for predictive asset maintenance and condition monitoring
Using IoT enables organizations to fully apply insights to optimize preventative maintenance practices.
In APQC’s research, using IoT for predictive asset maintenance and condition monitoring is fully implemented in only 15 percent of organizations.
Key Term: Internet of Things (IoT) For purposes of this research, the Internet of Things (IoT) refers to physical objects (often production machinery) that have chips, sensors, and actuators embedded in them that allow the sensing, capturing, and communication of all types of data.
IoT sensors and infrastructure allow this data to be captured and used for multiple purposes.
IoT for detecting and managing unplanned production issues
Prior to IoT when machines stopped working, the production line was halted so technicians could make repairs, often disrupting workflow.
Now the use of IoT-enabled solutions allows factories to embrace a predictive maintenance model that allows them to anticipate and resolve potential equipment issues before they impact production.
When it comes to using IoT to detect and manage unplanned production issues, APQC has found that only about 14 percent of organizations have fully implemented it, and another 20 percent are rolling it out (Figure 2).
When it comes to implementing and rolling out IoT, APQC found that organizations are further along in their journey in logistics, with 23 percent fully implemented and 27 percent rolling it out, compared to inventory management (20 percent implemented) or facility and energy management (18 percent implemented) as shown in Figure

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