Just-In-Time Production Simulator — Pull vs Push Release Interactive

Interactive 3D just-in-time production simulator: compare demand-authorized pull release with continuous push through a customer pause and see finished stock and backlog.

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About the Just-In-Time Production Simulator

A compact electronics cell mounts, fastens and dispatches sensor modules. Compare demand-authorized replenishment with continuous push production. During a customer pause, observe which policy keeps building unwanted finished stock.

What the simulator shows

• A 3D laboratory scene with: Sensor-module assembly nest; Customer order terminal; Finished-module supermarket; Shipping chute; Release-authority signal. • Controls: Release policy; Customer order interval (2-10 s/unit); Cell processing time (1-8 s/unit); Finished stock target (0-8 units); Customer pause from 20 to 40 s. • Live readouts: Finished modules; Unfilled orders; Module in process; Modules produced; Modules shipped; Mean fulfilled order delay. • Guided experiments: Pull through a demand pause; Push through the same pause; Insufficient capacity.

Model equations

• Pull release if stock + in-process − backlog < target • Push release whenever idle and stock < 80 • Stock balance: initial target + produced − shipped = stock • Order balance: arrived − shipped = backlog • One animation second = one process second.

Model limits and scope

Deterministic one-cell illustration of a base-stock pull policy versus continuous push, not a complete Toyota production system. No setups, quality loss or upstream shortages. Two policy trials must share demand, service and initial stock for a fair comparison. Capacity shortages still cause backlog under pull.

Frequently asked questions

Can pull control cure insufficient process capacity?

No. The release rule controls inventory authorization, not physical processing speed.

Is every low inventory value automatically good?

No. Reducing buffers can expose shortages; service and lead time also matter.

What does the "Pull through a demand pause" experiment show?

After replenishing the target, the cell waits during the pause.

What does this simulator not model?

Deterministic one-cell illustration of a base-stock pull policy versus continuous push, not a complete Toyota production system. No setups, quality loss or upstream shortages. Two policy trials must share demand, service and initial stock for a fair comparison. Capacity shortages still cause backlog under pull.

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