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AI Manufacturing Automation

See the Hidden Capacity in the Machines You Already Own

Most plants do not have a machine problem. They have a visibility problem.

  • Per machineTrue utilization
  • Idle + setupBroken down
  • Shift by shiftCompared side by side
  • HiddenCapacity found

Why It Matters

You are probably running more machines than you need

A machine can look busy and still sit idle half the shift

A machine that is switched on is not the same as a machine that is cutting parts. Between changeovers, waiting for material, and small stops, a lot of available time disappears.

  • Running time measured against available time.
  • Idle, setup and downtime pulled apart.
  • The true utilization figure per machine.

Find capacity before you spend on another machine

When one machine is flat out and another sits at 42%, the fix is usually to move work, not to buy. The service compares machines and shifts and flags where capacity is wasted, so you can rebalance the load and get more out of the machines that are already on the floor.

  • Busy machines compared with idle ones.
  • Wasted capacity flagged clearly.
  • A case for rebalancing before buying.

Running time measured against available time

For each machine, the service compares the time it was actually running against the time it was available to run. That single comparison turns a machine that looks busy into a real number you can question, track and improve.

  • A utilization figure per machine, not one plant average.
  • Available time set per shift and per day.
  • A baseline you can measure improvement against.

The lost hours pulled apart and named

The time a machine is not running is not all the same. The service separates idle time, setup and changeover, and real downtime, so a general sense that machines are slow becomes a list of specific losses you can attack one by one.

  • Idle time separated from real stoppages.
  • Setup and changeover time made visible.
  • Downtime reasons where your systems record them.

Machines and shifts side by side, waste flagged

The service compares machines against each other and the same machine across shifts, then flags where utilization drops well below the rest. Managers see the low performers first and can move work to idle capacity instead of buying more.

  • Machine against machine, shift against shift.
  • Wasted capacity flagged clearly.
  • A clear case for rebalancing before buying.

The numbers that show where capacity goes

  • True utilization per machine

    Running time against available time for each machine, so you see how much of the day is really productive.

  • Idle time

    The time a machine was available but not running, separated out so it stops hiding inside the total.

  • Setup and changeover

    How much time goes into changeovers and setup, so you can see where quick changes would free up hours.

  • Downtime and reasons

    Real stoppages and, where recorded, why they happened, so repeat losses become easy to spot.

  • Shift comparison

    The same machine across day and night shifts, so gaps between teams and patterns become visible.

  • Wasted capacity flags

    The machines and shifts running well below the rest, flagged so managers know where to look first.

From machine signals to a decision you can act on

  1. Connect data

    We pull run and stop signals, production orders and shift plans from your machines and ERP.

  2. Define available time

    We set what each machine was actually available to run, per shift and per day.

  3. Split the time

    AI separates running time from idle, setup and downtime, with reasons where known.

  4. Compare

    Machines and shifts are compared side by side, and wasted capacity is flagged.

  5. Act

    Managers see the real picture, rebalance work, and track whether utilization improves.

What a clear view of utilization gives you

  • True

    Utilization per machine

  • Hidden

    Capacity brought into view

  • Fewer

    Machines bought too soon

  • Balanced

    Work across the floor

  • Clear

    Idle and setup losses

  • Better

    Use of what you own

Why manufacturers choose TCB Infotech

  • We know the data

    We build ERP and software, so we work with your real machine and production data, not a demo.

  • Plant first

    We start on the floor, with how your machines and shifts actually run, then bring in the AI.

  • Honest numbers

    The figures are yours to question. If a signal is weak, we say so and show how to firm it up.

  • Model-agnostic

    We pick the approach that fits your data instead of tying you to one AI model or vendor.

  • Practical output

    Managers get a view they act on, not a dashboard that no one opens after week one.

Machine utilization analytics questions

What is machine utilization analytics?

It is an AI service that measures how well each machine is actually used. It compares running time against the time each machine was available, then breaks the rest down into idle, setup and downtime so you can see where capacity is wasted.

How is this different from just reading machine hours?

Raw machine hours do not tell you what good looks like. The service compares running time to available time, separates setup and idle from real downtime, and compares machines and shifts, so you see true utilization instead of a single number.

Where does the data come from?

It uses the machine and ERP data you already have, such as run and stop signals, production orders, shift plans and downtime reasons. We work with what your machines and systems already record.

Will this help us avoid buying another machine?

Often yes. Many plants run new machines while older ones sit idle for part of every shift. When you can see the real utilization per machine, you can move work around and use the capacity you already own before spending on more.

Do we need new sensors on every machine?

Not always. Many machines already produce run and stop signals, and a lot can be reconstructed from ERP and production data. Where a signal is missing we advise the simplest way to capture it, without a full rebuild.

Is this tied to one AI model or vendor?

No. The service is model-agnostic. We choose the approach that fits your data and keep the plan yours, so you are not locked to a single model or vendor.

Related

The other services in this section, and related pages from TCB Infotech.

See How Well Your Machines Are Really Used

No commitment. A practical first look at your utilization.