Find what limits your flow.
See the constraint. Test an improvement. Find the next one.
Switching scenarios resets the experiment.
Describe a process or decision
Include the steps, limits and decision you want to explore. AI proposes illustrative assumptions; the process engine computes the results.
Find the next constraint
More assembly capacity helps—until packing becomes the limit. Improve the whole line, one constraint at a time.
Constraint: Assembly
This is the limiting cut. Adding capacity anywhere else will not raise output.
Throughput: 4/hr
Baseline 4/hr · +0/hr (+0%)
+0.4/hr
Assembly at 4.4/hr → 4.4/hr total.
Select a step or connection to explore its capacity. Wide maps scroll sideways; use the zoom controls to fit or enlarge.
- Constraint: red outline and glow mark the limiting cut
- Saturated: all capacity used
- Busy: 65% or more used
- Spare capacity
- Flow: moving dashes show direction, line width shows volume
What if capacity changed?
Effective capacity after rework: 4/hr. Use arrow keys to adjust. The map updates live.
Original scenario · Constraint: Assembly
All comparisons use the original scenario. Presets and plans replace the current experiment.
Where would 10% more help now?
Raise one capacity at a time. The gain is in total output.
Tied constraints can require joint improvements; a zero marginal gain does not mean a step is unimportant.
Model assumptions & limits
- All capacities are finished units per hour at steady state.
- Transport, queues and setup time are omitted. Every order follows the entire line.
This steady-state model omits queue variability, shared staffing and deadlines. Switching scenarios or reloading starts a fresh experiment.