BottleneckCalc
Open the AI analyst
Features

An AI analyst for the slowest step.

Throughput and Little’s Law, the bottleneck finder, OEE and process cycle efficiency — four models, one AI that reads the result live, with the formula and the recommendation beside every answer.

A production line drawn as connected stations with one constraint flagged
01

Throughput & Little’s Law

The AI relates work-in-progress, cycle time and throughput — change any two and it reads the third, the law every queue obeys.

Throughput = WIP ÷ Cycle time
02

Bottleneck finder

Enter the capacity of each station and the demand. The AI finds the constraint, caps the line’s throughput, and flags exactly where to add capacity.

Throughput = min(station capacity)
03

OEE

The AI turns availability, performance and quality into one honest number for how hard your equipment is really working — and names the weakest link.

OEE = A × P × Q
Theory-of-constraints diagram: value-added time against total lead time
04

Process Cycle Efficiency

See how much of your lead time actually adds value — and how much is just waiting in a queue. The AI reads the gap as your opportunity.

PCE = Value-added ÷ Lead time
The AI analyst

Four models. One AI read of your slowest step.

Pick a model, change the numbers, and the AI reads the result live — what it means and where to act. Every figure is computed in your browser, then interpreted for you the moment it moves.

Inputs · Throughput & Little’s Law
Results
—
items / hour
AI analysisLittle’s Law: throughput = WIP ÷ cycle time. Cut WIP or cut cycle time and throughput rises — the two levers every queue obeys, and the first place the AI looks.
Inputs · Bottleneck finder
1
2
3
4
5
Results
—
jobs / hour
Station 1— · Utilisation —
Station 2— · Utilisation —
Station 3— · Utilisation —
Station 4— · Utilisation —
Station 5— · Utilisation —
AI analysisLimited by: Station — — A line can only run as fast as its slowest station. The AI flags the constraint in amber — add capacity there, and nowhere else, to lift the whole line.
Inputs · Overall Equipment Effectiveness
Results
—
OEE · %
OEE—
AI analysisOEE = availability × performance × quality. World-class is around 85%; below 60% the AI reads a real, fixable loss and points at which of the three is dragging.
Inputs · Process Cycle Efficiency
Results
—
Process Cycle Efficiency · %
Process Cycle Efficiency—
AI analysisPCE = value-added time ÷ total lead time. Most processes sit under 25% — the rest is waiting, and the AI reads the waiting as where the bottleneck really hides.
How it works

Three steps to a number you can act on.

01

Pick a model or describe your process

Throughput, the bottleneck finder, OEE or cycle efficiency — each maps to a question operations teams ask every week, and the AI knows which math to run.

02

Enter the numbers

Use the fields or the sliders. Everything computes live in your browser — nothing is uploaded, nothing is stored, nothing to install.

03

Get the AI’s verdict and next move

You get the figure, the gauge or the flagged constraint, and a plain-English read of what it means and exactly where to act.

Stop guessing where the line slows down.

Open the AI analyst, enter your numbers, and read the constraint with its fix — free, in your browser, in about ten seconds.

Open the AI analyst