Chief Operating Officers overseeing multiple manufacturing sites need group-level intelligence that individual site tools cannot aggregate.
See the OEE calculation behind this view.
When OEE is tracked in one system and maintenance is managed in another, the COO-level analysis that drives strategic operations decisions, which sites are underperforming and why, what maintenance investment gap explains OEE underperformance, how does maintenance cost per unit compare across sites of different sizes, requires manual data extraction and consolidation that takes days and produces stale insights.
An integrated OEE+CMMS platform provides the COO-level view that two-tool environments cannot: a group dashboard showing OEE by site alongside maintenance cost per unit, PM compliance rate, and reactive work ratio for each site in a single view.
The insight this enables.
Site 4 has the lowest OEE and the lowest PM compliance; Site 7 has the highest OEE and the highest PM compliance; the correlation is visible without statistical analysis, is the operational insight that COOs need to allocate management attention and maintenance investment correctly.
The COO-level integrated OEE+CMMS dashboard has four layers of insight at increasing detail. Layer 1, group summary: total OEE across all sites versus target, total maintenance spend versus budget, number of sites above and below OEE target.
This is the 30-second daily status view. Layer 2, site comparison: OEE by site in a ranked list with trend arrows (improving vs declining in last 30 days), maintenance cost per unit by site ranked, PM compliance by site ranked.
This is the 5-minute weekly review that identifies outlier sites requiring attention.
Layer 3, site detail: for any site selected from the comparison view, show OEE by production line, top 5 OEE loss causes, open high-priority CMMS work orders, and PM compliance by asset class.
This is the drill-down when a site appears in the outlier list.
Layer 4, asset analysis: for any production line selected from the site detail view, show OEE trend for 13 weeks, maintenance actions on that line in the same period, and the correlation between maintenance actions and OEE improvement.
This is the root cause analysis view for a COO-led operational review. Moving from Layer 1 to Layer 4 should take under 5 minutes in an integrated platform, it typically takes days in a two-tool environment.
Integrated OEE+CMMS enables a COO accountability model that discrete OEE and maintenance metrics cannot support. The accountability model has three components.
Performance target setting: OEE targets and maintenance cost per unit targets are set at group level and cascade to site level, with integrated data confirming whether targets are being met.
Without integrated data, targets in OEE and maintenance are set independently and there is no mechanism to connect maintenance investment decisions to OEE outcome targets.
Site performance review: monthly site performance reviews compare OEE achievement against PM compliance investment for each site. Sites with high PM compliance consistently achieving OEE targets confirm the maintenance program design is correct.
Sites with high PM compliance but poor OEE achievement may indicate incorrect PM strategy or equipment reliability issues. Sites with low PM compliance and poor OEE achievement confirm a maintenance execution problem.
This three-way classification, performance review based on integrated data, enables targeted intervention rather than generic improvement programs. Best practice replication: sites with the best OEE outcomes relative to their maintenance investment level are identified as model sites.
Their PM program design, technician structure, and maintenance-OEE workflow are documented and shared with underperforming sites as a structured best practice transfer.
Integrated data makes this analysis possible and credible, without it, best practice claims are anecdotal and replication is inconsistent.
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