Industry · Manufacturing AI

OEE Analytics

Real-time OEE analytics that reveal where you're losing capacity — turn machine and production data into the insight to improve availability, performance and quality.

+0%OEE improvement
0%Downtime reduced
0%Data accuracy
Overview

What is OEE Analytics?

OEE Analytics at MindCraft Solution gives you a real-time, trustworthy view of Overall Equipment Effectiveness and the losses behind it. We capture machine and production data automatically, calculate OEE and its components — availability, performance and quality — and surface the specific losses to target, so improvement is data-driven, not guesswork.

Manual OEE tracking is slow, inconsistent and often gamed. We automate data capture from machines and systems, standardise the calculation, and present clear dashboards down to line, shift and reason-code level — making losses visible and accountable.

The result is a shared, objective picture of performance that drives continuous improvement, with the analytics to prove what's working.

What's included

What OEE Analytics includes

Everything you need to take oEE Analytics from idea to a dependable, owned capability.

Automated data capture

Machine and production data captured directly, not by hand.

OEE calculation

Standardised availability, performance and quality metrics.

Loss analysis

Pinpoint the specific downtime, speed and quality losses.

Real-time dashboards

Live views by line, shift, product and reason code.

Root-cause insight

Analytics that connect losses to causes.

Integration

Connected to PLC / SCADA, MES and historians.

The impact

Outcomes we target

Typical results from MindCraft manufacturing AI engagements.

+0%
OEE improvement
0%
Downtime reduced
0%
Data accuracy
0%
Reporting time cut
How we work

Our delivery model

A clear, low-risk path from first call to a running, optimized solution.

  1. 1

    Instrument

    We capture machine and production data automatically.

  2. 2

    Standardise OEE

    We define and standardise the OEE calculation and reason codes.

  3. 3

    Visualise & analyse

    We build dashboards and loss analysis down to the detail.

  4. 4

    Drive improvement

    We help target the biggest losses and track the gains.

Challenges we solve

From problem to outcome

The pressures we see in manufacturing — and how we fix them.

  • Challenge

    Unplanned machine downtime

    How we solve it

    Predictive maintenance that warns you before failures.

  • Challenge

    Manual quality checks miss defects

    How we solve it

    Automated computer-vision inspection on every unit.

  • Challenge

    Little real-time shop-floor visibility

    How we solve it

    Live OEE dashboards and digital twins.

Tools & technology

The stack we use

PLC / SCADAIoTPythonTime-series DBGrafanaPower BIMES
Deliverables

What you get

Concrete, owned artifacts — not just advice.

  • Automated OEE data capture
  • Standardised OEE calculation
  • Real-time dashboards
  • Loss & root-cause analytics
  • Integration & training
FAQ

Questions, answered

Manual OEE is slow, inconsistent and easy to game. Automated capture gives an objective, real-time, trustworthy number — and the detailed loss breakdown you need to actually improve.

Yes — we capture data from modern PLCs and add simple sensors or signals for older machines, so you get consistent OEE across a mixed estate.

The valuable part is the loss breakdown — which downtime, speed and quality losses, on which lines and shifts, and why — so you target the biggest opportunities.

Yes — we integrate with MES, SCADA and historians so OEE sits alongside your existing production data.

Ready to talk about OEE Analytics?

Tell us where you are and what success looks like. We'll bring the right people, stack and plan — and reply within one business day.