Kanban in manufacturing is a lean scheduling method that uses visual cards or signals to trigger production and material movement only when a downstream process actually consumes inventory. It replaces forecast-driven push with demand-driven pull, capping work in progress, exposing bottlenecks, and keeping stock lean without starving the line.
Kanban links every workstation to real consumption instead of a central schedule. When a downstream station uses parts, it sends a signal upstream authorizing exactly one refill, and nothing moves without that signal.
The rule is simple: produce only to replace what was taken. This self-regulating loop is why kanban is central to the Toyota Production System and to total productive maintenance programs.
Push and pull answer the same question differently: what tells a station to start working?
Push optimizes each station in isolation. Pull optimizes flow across the whole line, which is why a stoppage or quality issue becomes visible almost immediately instead of being buried under excess inventory.
The card count sets your inventory ceiling, so getting it right matters. A widely used formula is:
Number of kanbans = (D x L x (1 + S)) / C
Worked example: a line consumes D = 400 parts per hour, replenishment lead time is L = 2 hours, safety factor S = 0.20 (20%), and each container holds C = 100 parts.
Kanbans = (400 x 2 x 1.20) / 100 = 960 / 100 = 9.6, rounded up to 10 cards. That caps WIP at 10 x 100 = 1,000 parts. Cut lead time to 1 hour and the requirement drops to (400 x 1 x 1.20) / 100 = 4.8, rounded to 5 cards, halving inventory. This is why kanban and lead-time reduction reinforce each other: every hour you remove from L directly removes buffer stock.
Kanban delivers measurable operational gains when applied to stable, repetitive demand.
Kanban also protects uptime. A card cap only holds if machines run reliably, so pairing pull scheduling with proactive maintenance keeps the loop from breaking. A single unplanned stop can drain a supermarket faster than it refills. See the drivers of unplanned downtime to protect your pull system.
Roll kanban out on one value stream first, then expand once the loop is stable.
Physical cards work well on a single line, but they get lost, are hard to audit, and give no real-time visibility across plants. Digital kanban replaces the ticket with an electronic signal triggered automatically by consumption or a scan, so replenishment orders, card counts, and cycle times are logged and analyzable.
Digital pull becomes far stronger when tied to live machine data. When production monitoring feeds actual output and stoppage data into the same platform, you can see the moment a bottleneck forms rather than discovering it when a supermarket empties. Fabrico provides real-time production and OEE monitoring, including camera-based machine monitoring that works without a PLC, so even older equipment can signal consumption and status. Pairing that signal with a CMMS means the maintenance work orders that keep the pull loop alive live alongside the production data driving it. Note that automatic reordering, SCADA control, and digital-twin modeling are separate industry concepts, not part of a kanban signaling setup.
No, but they are closely related. Just-in-time (JIT) is the broad strategy of producing only what is needed, when it is needed, in the amount needed. Kanban is one of the practical signaling tools used to execute JIT on the shop floor. You can pursue JIT with other pull mechanisms, but kanban is the most common way to make it work in practice.
Kanban performs best with stable, repetitive demand and standard parts, because the card count depends on predictable consumption. For high-variety or highly seasonal production, fixed card counts break down. Teams in those settings often use hybrid approaches, adjusting card counts seasonally or reserving pull only for high-runner components while scheduling irregular items with other planning methods.
Kanban controls flow, while OEE measures how effectively equipment runs. They reinforce each other: a low availability score means machines stop often, draining kanban supermarkets faster than they refill and forcing larger buffers. Improving OEE lets you safely reduce card counts and inventory. Monitoring both together shows whether your pull system is genuinely lean or quietly hiding equipment problems behind extra stock.
Book a Fabrico demo to see how real-time production monitoring and CMMS give your kanban pull system the live machine data and maintenance reliability it needs to run lean without stockouts.
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