• 5 things every Quality Manager should know about The Internet of Things

1. Instruments, devices, machines are no longer in a SiloPrint. With advancements to IoT technology, along with rising interest in and opportunities for connectivity, the number of intelligent devices in the world is expected to increase exponentially.

The Internet of ThingsIntelligent instruments deliver critical information directly from the process to the control room allowing plants to move to predictive maintenance.

2. Connected Devices

Connected devices will provide new types of quality data. Connected devices have the potential to generate massive quantities and varieties of Big Data. Considering the rate at which devices are expected to become connected, alongside the fact that many are working in real time, manufacturers will need a robust quality analytics solution to transform all of this data into intelligence. Without a way to analyze incoming information about the state of your onsite instrumentation, there is a very real risk of the data providing little value at all.

3. Predictive Maintenance

Because intelligent sensors are capturing performance data while products are in use, the potential to proactively identify and resolve quality failures has never been greater. Leadership will be expected to utilize this information to drive down service costs, improve safety, and mitigate the risk of a major product recall.

4. Servitization of Products

There's a general trend in today's economy toward the servitization of products. Rather than always being sold outright, everything from calibration software to jet engines to network space is being offered "as a Service". This frees up subscribers to focus on more value-add activities in their business. This leads me to believe the IoT's going to play a huge role in the continued transition to this business model.

5. The Closed Quality Loop

Today's leading manufacturers are working to close the quality loop, or create a bi-directional connection of people, processes, and technology across the value chain. This new source of downstream data from connected devices will no doubt transform closed-loop quality for manufacturing and engineering professionals, but taking advantage of it will require a centralised, integrated quality hub in the first place.