See the Hidden Capacity in the Machines You Already Own
Most plants do not have a machine problem. They have a visibility problem. Machine utilization analytics shows how well each machine is actually used, so you move work to idle capacity instead of buying more.
50+ ERP and software projects. Zero failed projects since 2021.
You are probably running more machines than you need
When no one can see true utilization, idle time hides in plain sight and the answer to every capacity question is to buy another machine.
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. Utilization analytics separates real running time from the rest, so you see how much capacity is actually being used.
- 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.
Every machine, every shift, in one view
Instead of one plant-wide number, you get utilization per machine, with the low performers flagged so managers know where to act first.
From machine signals to a decision you can act on
The numbers that show where capacity goes
Each measure turns a vague sense that machines are busy into a figure you can question and improve.
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.
What a clear view of utilization gives you
Why manufacturers choose TCB Infotech
Machine utilization analytics questions
What is machine utilization analytics?
How is this different from just reading machine hours?
Where does the data come from?
Will this help us avoid buying another machine?
Do we need new sensors on every machine?
Is this tied to one AI model or vendor?
See How Well Your Machines Are Really Used
Book a free consultation. We will look at your machine and ERP data and show what machine utilization analytics would reveal about the capacity you already own.
Book a Free Consultation →No commitment. A practical first look at your utilization.
What Machine Utilization Analytics Shows You
It turns the machine and ERP data you already have into a clear view of how each machine is used. Here is what it measures, how it compares, and what managers do with it.
From machine signals to better use of what you own
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.
Everything the service delivers
Utilization per machine
Running time against available time for each machine, so productive time stops hiding in the total.
Idle and setup breakdown
Idle time and changeover time separated out, so you can see exactly where the hours go.
Shift comparison
The same machine across day and night, so gaps between shifts and teams become clear.
Wasted-capacity flags
The machines and shifts running below the rest, flagged so managers know where to act first.
Machine and ERP data
Built on run and stop signals, production orders and shift plans you already record, not a rebuild.
Model-agnostic build
The approach fits your data and stays yours, with no lock-in to a single AI model or vendor.