Continuous improvement managers are often tasked with running Lean, Six Sigma, or TPM programmes on shop floors where the underlying data is unreliable or inconsistent. A kaizen event built on manually collected cycle time data, or a Six Sigma project using downtime estimates rather than actual measured losses, will produce improvements that evaporate within 90 days because the root cause analysis was built on weak data.
OEE software gives CI managers the reliable, continuous data foundation that improvement programmes require. This guide explains what CI managers need from OEE software specifically — not generic OEE features, but the capabilities that make improvement programmes stick.
1. Loss Reason Coding with Custom Categories
CI managers need to classify losses in a way that maps to their improvement programme structure — not just generic categories. The ability to define custom downtime reason codes, quality defect codes, and speed loss categories aligned to your CI methodology (Lean waste categories, TPM loss pillars, etc.) is the difference between OEE data that drives improvement and OEE data that just fills a dashboard.
2. Pareto Analysis of Loss Categories
The 80/20 principle applies to OEE losses: typically 2-3 loss categories account for 70-80% of total OEE gap. OEE software with built-in Pareto analysis lets CI managers identify the highest-priority improvement opportunities without manual data compilation. A Pareto that updates automatically as new shift data arrives lets CI teams validate whether their interventions are moving the right losses.
3. Before/After Comparison for Improvement Projects
Every CI project needs a baseline and a post-improvement measurement. OEE software should make it easy to define a measurement period, capture baseline performance, implement the change, and then automatically compare post-improvement performance against baseline. This eliminates the manual data collection that consumes 30-40% of CI project time in plants without OEE software.
4. Asset-Level Drill-Down for Root Cause Analysis
When a loss category shows up consistently in the Pareto, CI managers need to drill down to the specific assets, shifts, and operators driving the loss. OEE software that supports multi-level drill-down — from plant to line to asset to individual failure event — gives CI managers the specific, actionable data they need rather than aggregate averages.
5. Integration with Maintenance Data for Failure Analysis
Many OEE losses have a maintenance root cause. A speed loss on a packaging line might be caused by worn bearings generating vibration that forces operators to run below rated speed. CI managers who can see OEE losses alongside CMMS work order history can identify maintenance-driven losses that would otherwise look like operator or process issues.
Fabrico is built on the principle that OEE improvement requires both production data and maintenance data — and that CI managers need both in one place. The platform combines OEE monitoring with CMMS work order management, giving CI managers a single system for loss analysis, root cause investigation, and improvement tracking.
CI managers at Fabrico customer sites use the platform to run structured improvement reviews — pulling Pareto data from the previous month, identifying the top 3 loss categories, assigning improvement owners, and tracking whether interventions are moving the metrics. The before/after comparison feature is used directly in CI project close-out reports, eliminating the need for separate data collection. Request a CI manager demo — we will walk through the loss analysis and improvement tracking features with your production environment as the example.
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