I have been writing on notifications in a personal sense. Here is an application of predictive notifications in manufacturing/production industry from ABB.

A new white paper that shows how predictive maintenance and notification technology can be combined to enable services that predict events that affect production, and then accelerate actions to avoid or exploit the events in order to produce higher equipment availability, more stable process performance and better product quality.

Predictive Notifications

The white paper, entitled, “Are You on Track? How Predictive Notification Keeps Production on Track,” notes that though notifications are all around us (think smart phones with notifications for appointments, social media, software updates, sports scores, stock prices etc.), they haven’t yet entered the realm of industrial production. The paper proposes that the reason is because most notifications tell what has already happened. But combining notification technology with predictive maintenance technology can create a solution in which notifications become part of the daily industrial plant work practice.

“We have long provided control technology that triggers alarms for certain scenarios,” said Dan Duncan, Vice President, Sales and Operations for ABB Process Automation Service. “And we also deliver services that can automatically identify, categorize and prioritize maintenance issues that should be addressed. Both of these technological developments have made a huge impact on global industrial production.

“But what has been missing from our toolset is a simple way to take what is identified, categorized and prioritized by these advanced services technologies, and quickly and efficiently put an action into the hands of someone who can actually do something about it now,” Duncan said. “This white paper represents our thinking on how this can be accomplished by industrial producers everywhere.

“We expect it to have a significant beneficial effect on improving production efficiencies,” he said.

The paper covers predictive maintenance technology, problems with historical predictive approach and how to resolve those problems. The paper further identifies the value that can be produced by predictive notification technologies, and outlines a path to implementing a predictive notification program, including step-by-step guidance on how to get there.

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