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Predictive analytics help PPG customers prevent corrosion

Jan 30, 2020

Rundown and corroded industrial assets can have a detrimental effect on the bottom line. But for most companies that rely on smooth flowing pipes and watertight tanks, such as in the oil and gas, rail, and mining sectors, knowing when industrial assets will become a liability is a challenge.

Fortune 500 company PPG Industries, founded in 1883 as the Pittsburgh Plate Glass Co., is turning to data collection and analytics to help its customers in a range of industries predict exactly when they’ll need to apply new coatings to prevent corrosion. The supplier of paints, coatings, and specialty materials has developed Asset Integrity Management (AIM), a digitally-enabled service that forecasts the future condition of PPG’s protective coatings and notifies customers as to which assets they need to repaint and when — before corrosion occurs.

“Through AIM we help customers plan, budget, and optimize their facility maintenance needs for coatings application,” says Jeff Lipniskis, global director of IT at PPG.

At the heart of the service, which earned PPG a FutureEdge 50 Award for cutting-edge use of emerging technologies, is a data-driven model built on proprietary algorithms developed from NACE 509 and ISO 12944 standards for expected service life. The model helps customers predict how their assets will age, calculate likely outcomes, and compare multiple scenarios. It includes a budget manager that gives maintenance managers the ability to plan for the next 10 to 20 years of maintenance.

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