Mastering Metrics: How to Use OEE to Drive Real Results

Most plants calculate OEE. Far fewer use it. The number gets reported, compared, occasionally argued over, and then nobody does anything with it. Sometimes it's not even right. 

In this session, Matt Townsend, Lean Six Sigma Master Black Belt and CEO of Sparc Engineers, formerly of Avalign Technologies and Paragon Medical, walks through what he learned implementing MachineMetrics twice: where OEE calculations go wrong, which inputs you can trust and which you can't, and how to turn a validated number into decisions that move capacity, scheduling, and EBITDA. 

Matt and MachineMetrics CRO Graham Immerman will cover the mistakes that make OEE unreliable, the data you actually need to capture, and the daily and weekly routines that turn the metric into a management system across one plant or many. 

What you'll take away

• Why hand-calculated and operator-entered OEE drifts, and the three inputs most plants get wrong (planned production time, ideal cycle time, quality capture) 
• Which data should come from the machine and which from the operator, and what happens when you mix them up 
• How to standardize OEE definitions so plant-to-plant comparisons mean something 
• How Avalign and Paragon moved from paper and spreadsheets to machine data, and what changed in throughput, utilization, and capital decisions 
• A practical framework for using OEE in shift reviews, Gemba walks, and executive business reviews 
• Where to go next if your team wants formal OEE training