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When the Problem Isn’t Machine Capacity — It’s Labor Allocation

A manufacturer thought they needed more machines—until Machine Tracking revealed a labor allocation problem. See how shift-level data uncovered hidden capacity.

How one manufacturer uncovered hidden capacity across shifts using Machine Tracking


Most manufacturers face the same pressure when jobs start falling behind:

“We need more machines.”


More machines = more capacity… or at least that’s the assumption.

But as one customer recently discovered, assumptions can be expensive — and very wrong.


The Complaints Were Coming In


This manufacturer was struggling to keep up with demand.

Jobs weren’t getting completed on time.

Orders were backing up.

The complaints — especially from the 1st shift — kept mounting.


Naturally, the conclusion was:

“We need to buy more equipment.”

But the head of operations wasn’t convinced.

Instead of adding more machines, he wanted to validate the concern before making a costly decision.


Using Data Instead of Assumptions


That’s when his team deployed Machine Tracking’s Machine Utilization Trackers — simple devices that capture real machine uptime, downtime, and utilization across every shift.


The goal?

Get a clear, objective picture of how much capacity they truly had.

What happened next surprised everyone.


The Shocking Insight: They Had Plenty of Machine Capacity


Once the data came in, the truth was obvious:

The machines were not the bottleneck.

They had more than enough capacity to meet demand.


The issue wasn’t equipment — it was labor allocation.


Shift 1 was overloaded and constantly under pressure.

But shifts 2 and 3 had significantly more available capacity than anyone realized.


With real uptime data across all three shifts, the head of operations instantly saw the imbalance.



The Fix Was Simple — Align the Shifts


Once priorities were adjusted across shifts:

  • The backlog cleared

  • Throughput stabilized

  • Complaints stopped

  • And the facility avoided buying new machines unnecessarily


Even better, with the extra capacity they uncovered, they were able to in-source additional work, reducing outside service costs and boosting profitability.


A Rapid Expansion of Visibility


The value of the data was so clear, so quickly, that this customer immediately doubled the number of machines being monitored.


When you give your team a simple, accurate way to understand machine uptime and utilization, improvements stop being theoretical — they become obvious.


A Quote Worth Sharing

The head of operations said it best:


“You all made it simple to get the necessary data — and you weren’t trying to sell us an overly complicated solution that’s overly expensive.”


That’s exactly why Machine Tracking exists.


What Was Learned

When production is behind, it’s easy to blame machine capacity.

But in reality, the bottleneck is often hidden in plain sight — and only becomes visible when you have the right data across all shifts.


Sometimes the answer isn’t more machines.

It's better visibility.


📈 Ready to See If You Have Hidden Capacity?

Machine Tracking gives manufacturers the real-time uptime and utilization data they need to make smart decisions — without complex integrations, long deployments, or expensive systems.

 
 
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