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Leadership for Reliability

The ROI of Reliability Leadership

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Leadership for Reliability

TRC-2018 Key Note 58:23
by Terrence O'Hanlon, Reliabilityweb.com and Uptime Magazine

Technical skills abound in the reliability community, but it's common knowledge that 70% of the improvement initiatives launched do not generate sustainable business success. Learn how to create cross-functional awareness, desire and knowledge to drive sustainable change.

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Going Digital Means More Data for Decision Making: Are You Checking the Integrity of Your Data?
work execution management

Going Digital Means More Data for Decision Making: Are You Checking the Integrity of Your Data?

The application of Industry 4.0 principles often involves the enhanced use of CMMS applications and the automation of data collection, all resulting in the world of Big Data.

Performance Analytics to Drive Maintenance Strategies
work execution management

Performance Analytics to Drive Maintenance Strategies

Maintenance strategies are pivotal in keeping your asset portfolio operating at peak performance. Performance analytics can be built around leveraging this incredible power from your computer maintenance management system (CMMS).

Show Me The Money! Key Approaches for Forecasting Capital and O&M Needs
work execution management

Show Me The Money! Key Approaches for Forecasting Capital and O&M Needs

All facilities and infrastructure assets deteriorate with time and use. To maintain the effectiveness and value of an asset, renewal work should be performed periodically, and when the asset has reached the end of its functional useful life, it should be replaced.

An End to the Hype: A Layered Fit for Purpose Approach to Analytics to Hit Your PM Goals Today
work execution management

An End to the Hype: A Layered Fit for Purpose Approach to Analytics to Hit Your PM Goals Today

When it comes to everyday challenges in operations and maintenance, like improving PM (planned maintenance) completion rate, AI/ML (artificial intelligence/machine learning) is often relegated to experimental solutions to justify “big data” initiatives that eventually fail to deliver real value.

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