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Optimizing MRO Inventory Using Machine Learning: A Customer Case Study

by, Larry Smith, Sherwin Williams and Ravi Venkatraman, Hamiltonian Systems

We share a practical approach to implementing Machine Learning for Reliability 4.0. Through the case study of Sherwin-Williams’ predictive maintenance and MRO parts Optimization, attendees will learn about the key components of a machine learning project and see the results in action with a demo.

You can ask anything about maintenance, reliability, and asset management.