What it means
The measure is deliberately unforgiving because it counts every minute between the first touch and the final handover, not just the minutes when someone is working. A component might need two hours of machining but take four days to get through the factory, and throughput time is the four days.
It matters commercially for two reasons that show up on different statements. Long throughput time ties up cash in half-finished work sitting on the balance sheet as inventory, and it lengthens the promise you can make to customers, which costs you orders to faster competitors.
Analysts usually split the total into four buckets: process time, when value is actually being added, plus inspection time, move time and queue time. Queue time is almost always the largest of the four, frequently 80% or more of the total, because work sits waiting for a busy resource to become free.
The derived measure that makes this vivid is manufacturing cycle efficiency, calculated as process time divided by total throughput time. A result of 8% is entirely normal in a traditional factory, and stating it that way makes the improvement opportunity obvious to people who do not read production reports.
The concept applies far beyond manufacturing, which is where most of its value now lies. Mortgage applications, insurance claims, recruitment processes and invoice approvals all have throughput times dominated by queues and handoffs rather than by the work itself.
In practice
Real-world examples.
Example
A specialist lens maker quotes six week lead times while a competitor quotes three. Measuring throughput time reveals that actual grinding and coating take eleven hours, and the rest is batching work into weekly runs, so moving to daily runs cuts the quote to under three weeks.
Example
A mortgage broker tracks throughput time from application to formal offer and finds it averages nineteen days, of which fourteen are spent waiting for documents. Introducing an upfront checklist cuts the average to eleven days and lifts completion rates.
Example
A vehicle body shop reduces throughput time per repair from nine days to five by holding common parts in stock rather than ordering per job. Cash tied up in vehicles awaiting repair falls by roughly $180,000.
Think of it
“Throughput time is how long it takes to make something from start to finish.
Formula
Calculation
Throughput time = Process time + Inspection time + Move time + Queue time
Manufacturing cycle efficiency = Process time / Throughput time
Take a machined part moving through a workshop. It spends 2.0 hours being cut and finished, 0.5 hours being inspected, 1.5 hours being moved between work centres, and 20.0 hours waiting in queues between operations.
Throughput time = 2.0 + 0.5 + 1.5 + 20.0 = 24.0 hours. Manufacturing cycle efficiency = 2.0 / 24.0 = 0.0833, or 8.3%, meaning value is being added for roughly one hour in every twelve.
If the workshop halved queue time to 10.0 hours by resequencing jobs, throughput time would fall to 2.0 + 0.5 + 1.5 + 10.0 = 14.0 hours and efficiency would rise to 2.0 / 14.0 = 14.3%. Note that no one worked any faster; only the waiting changed.Case study
Seen in the real world.
The following is an illustrative and entirely fictional example. Grantham Instruments, an invented maker of laboratory equipment, was losing tenders to a rival that promised delivery in four weeks against Grantham's ten. The production director's response was to request a second assembly cell costing $900,000.
Before approving it, the fictional finance director asked for a throughput time study on twenty recent orders. Actual assembly and testing averaged 26 hours per unit, but average throughput time was 47 working days, with most of the gap sitting in a queue for a single calibration bench and in a weekly batch of quality paperwork.
Grantham moved calibration to a two shift pattern and switched the paperwork from weekly to daily, at a total cost of roughly $70,000 a year. In this illustrative example throughput time fell to 21 working days, the capital request was withdrawn, and the company began winning the tenders it had been losing on lead time.
Watch out
Common mistakes.
- Measuring only the hours of actual work and calling it throughput time, which hides the queues where most of the elapsed time really goes.
- Buying more capacity to fix a long throughput time before checking whether the delay is caused by waiting rather than by a genuine shortage of machines.
- Averaging throughput time across wildly different products, which produces a number that describes nothing anyone actually makes.
Questions
People also ask.
Is throughput time the same as lead time?
Not quite, since lead time is usually measured from customer order to delivery and can include time before work starts, whereas throughput time runs from first operation to completion.
Why is queue time normally the largest component?
Because work arrives faster than the busiest resource can process it, so items sit waiting, and the effect compounds at every step in the sequence.
Does reducing throughput time reduce cost?
Often yes, indirectly, because less work in progress means less cash tied up, fewer chasing conversations and less scrap from items sitting around half finished.
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