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AI Empowerment Through MES is Proven to Drive Overall MOM Improvement

It’s logical that actionable insights which leverage real time data would drive optimized factory performance. Instant notification of problems, root cause analysis, predictive analytics, and scenario-based prescriptions will result in improved throughput, inventory, and operating expense while delivering on asset utilization, OEE, labor efficiency and order fulfillment.

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Joe Bellini

Joe Bellini

CEO at Eyelit Technologies

Joe is certified in AI Strategy from MIT Sloan, is an alumnus of Harvard Business School, and has both a BS in Applied Mathematics & Statistics and a BS in Mechanical Engineering from UMass Amherst. Joe holds patents in Supply Chain Planning, is the co-author of the business book “The Real Time Enterprise,” and is a past award winner in the Mathematics Olympiad Competition.

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