Predictive Maintenance

Predict when repairs will be needed, schedule maintenance cost-effectively, and keep your business operating smoothly.

Predict equipment failure, plan cost-effective maintenance

Sudden malfunctions of equipment can stop a business on a dime. It can create dissatisfied customers, unmet delivery expectations, contract penalties, lost revenue, and costly emergency action to set things right. Data science can protect your business against these unexpected misfortunes. Capturing the vast data streams generated by most modern equipment, you can predict when repairs will be needed, schedule maintenance cost-effectively, and keep your business operating smoothly.

Avoid unplanned maintenance

Minimize unplanned downtime – potential disasters in waiting that put your business at risk. Cut down on nasty surprises.

Improve maintenance planning

Optimize your maintenance schedules by thoughtfully allocating service resources and reducing mean time-to-repair.

Lower maintenance costs

Don’t waste money through over-zealous maintenance. Only repair equipment when repairs are actually needed.

Root-cause analyses

Find causes for equipment malfunctions and work with suppliers to switch-off reasons for high failure rates. Increase return on your assets.

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Tuesday, September 24, 11am EST

Predictive Maintenance – A Powerful First Step Towards Adopting AI for Manufacturing

Manufacturers can use AI systems to design smart products, run smart factories, forecast demand, ensure quality, reduce production downtime, and manage supply chain risk. But one use case rises above the rest In terms of feasibility and impact – predictive maintenance. It addresses the age-old challenge of ensuring maximum availability of critical manufacturing systems, while simultaneously minimizing the cost of maintenance and repairs.

Get started with your Predictive Maintenance project today!