Follow numbered containers and their matching production cards through consumption, card return, refill and delivery. The fixed card population limits the number of replenishment containers in the closed loop.
• A 3D laboratory scene with: Point-of-use rack; Empty-container return lane; Single refill station; Full-container delivery lane; Numbered kanban card board. • Controls: Number of container cards (1-8); Parts per container (2-8); Customer withdrawal interval (0.5-4 s/part); Refill processing time (1-8 s/container); One-way transport delay (1-6 s). • Live readouts: Available parts; Waiting withdrawals; Nonempty containers; Cards / containers away; Delivered customer parts; No-queue card sizing estimate. • Guided experiments: Too few cards; More circulating containers; Refill capacity exceeded.
• Cards are conserved: N=available+returning+waiting+refilling+delivering • Each empty container returns, waits, refills q parts, then is delivered • No-queue sizing illustration: N≈ceil[d(2×travel+make)/q] • This estimate excludes safety allowance, fill-phase depletion and refill queueing; verify service experimentally.
Single-card closed-container teaching system, one refill server and deterministic part withdrawals. All cards initially accompany full containers. Unfilled withdrawals remain as backlog. Animation draws every card/container (maximum eight); no phantom replenishments. The sizing estimate is not a guaranteed service-level design.
No. Authorization is conserved with a one-to-one card-container relationship.
No. They add inventory capacity, not production capacity.
The rack empties while its only container is away.
Single-card closed-container teaching system, one refill server and deterministic part withdrawals. All cards initially accompany full containers. Unfilled withdrawals remain as backlog. Animation draws every card/container (maximum eight); no phantom replenishments. The sizing estimate is not a guaranteed service-level design.