Studium przypadku · AerospaceAnonimowa na życzenie. Nazwy na podstawie NDA.
Automotive · Smart factory

Line-side flow, optimised — from reactive to predictive.

A global automotive supplier faced bottlenecks from delayed line-side replenishment, AGV congestion and poor live visibility of pallets, carts and WIP inventory.

Automotive · Smart factoryAGV & material-flow optimisationHybrid RTLS / RFID + analytics · measured outcomes.live asset positionMniejAGV route conflictsSzybciejline-side replenishment
Wyzwanie

Z czym mieli do czynienia.

Replenishment delays

Line-side material arrived late, stalling production.

AGV congestion

Route conflicts slowed the robotic fleet and created collision zones.

No live WIP visibility

Pallets, carts and WIP were invisible in real time.

Nasze podejście

Vendor- neutralny, wyprowadzony - led.

Hybrid orchestration — UWB for high-accuracy AGV routing and collision zones, BLE on pallets, bins and material carts, AGV telemetry for route intelligence, and AI heatmaps for bottleneck and idle-time analysis.

Jak to rozwiązaliśmy?

To, co dostarczyliśmy.

  • UWB RTLS for high-accuracy AGV routing & collision zones
  • BLE tags on pallets, bins and material carts
  • AGV telemetry integration for route intelligence
  • AI heatmaps — bottleneck & idle-time visibility
Wyniki

Wynik, który widział zarząd.

Mniej
AGV route conflicts
Szybciej
line-side replenishment
Higher
throughput
JIT
material delivery
“Location intelligence transformed our production logistics from reactive to predictive.”

— Plant logistics manager, Tier-1 automotive (client anonymised)

Stosowana technologia

Stos za nim

UWBBLEAGV telemetryAI analytics
Czy to może być twój program?

Powiedz nam, gdzie utknąłeś.

Trzydzieści minut w twoim przypadku użycia, liczbach, i co faktycznie poruszyłoby twoje 331 procent. Vendor- neutralny, bez boiska.

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