OEE and Production Monitoring

Our OEE solution converts machine signals and operator inputs into clear availability, performance and quality losses. Teams can see where production time is being lost and compare machines, products, shifts and lines using consistent data.

OEE Monitoring capabilities

Typical applications

Business and engineering outcomes

Agreed KPI definitions

Availability, performance and quality are calculated from documented states, schedules and production rules.

Visible production losses

Downtime reasons, micro-stops, speed loss, reject and changeover data reveal where improvement work should start.

Shift-level accountability

Operators and supervisors see current targets, losses and actions while the shift can still respond.

Trusted management reporting

Validated machine and contextual data reduce spreadsheet reconciliation and inconsistent KPI versions.

Engineering and delivery approach

  1. Definition workshop: Agree planned time, machine states, ideal cycle, good count, reject, changeover, calendars and reporting hierarchy.
  2. Signal validation: Map PLC tags and verify that run, stop, fault, count and product signals reflect physical production.
  3. Workflow design: Configure downtime capture, reason trees, operator prompts, comments, targets and shift closeout.
  4. Dashboard and governance: Build role-specific views, data-quality checks, ownership and a process for changing KPI rules.

Platforms, protocols and components

Data sources

Core metrics

Delivery

What we need to start

Project deliverables

Frequently asked questions

What data is needed for OEE?

At minimum, the system needs planned time, runtime or machine state, ideal production rate, total count and reject count.

Can operators enter downtime reasons?

Yes. HMI, tablet or web screens can present controlled reason lists for accurate loss analysis.

Can OEE connect with an ERP?

Yes. Product, order, shift or production results can be exchanged through approved interfaces.

Related automation services

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