Throughput problems are rarely solved by adding labor first

When output sits below target, adding people is the fastest decision available. It is also the one most likely to leave the underlying constraint untouched while raising cost per unit.

Labor is rarely the binding constraint

In most operations running below installed capacity, the limit is not hours available. It is material arriving late, work released in the wrong sequence, equipment availability, or a quality loop that quietly consumes capacity through rework.

Adding labor to any of those produces more people waiting, not more output.

Find what actually blocks the work

• Measure blocked and starved time at the constraint, not utilization across the line.
• Trace material availability against the build sequence rather than against the plan.
• Separate true demand variability from variability the release process creates.
• Quantify rework as capacity consumed, not as a quality metric.

A five-point constraint checklist

• Blocked time — how long the constraint sits with finished work it cannot pass downstream.
• Starved time — how long the constraint waits with nothing to work on.
• Material — whether parts arrive in time for the build sequence, not just in total for the week.
• Sequence — whether work is released in the order the constraint needs it, or in an order that creates changeovers and waiting.
• Rework — how many constraint hours go to redoing work instead of producing new output.

Then decide whether you need people

Sometimes the answer genuinely is more labor — but after the constraint is understood, the requirement is usually smaller and pointed somewhere more specific than the original request.

This pattern shows up constantly where production waits for materials, and it is the first thing we test in an assessment.