Automotive Tier 1
Case study / Automotive
Internal transport automation in an automotive Tier-1 plant
A case study from FicoMirrors Polska: AGV deployment designed around process stability, safety and predictable internal logistics in an automotive Tier-1 environment.
Published: January 26, 2026
Internal transport of components and pallets
2 AGV vehicles
Up to 13 pallets per hour in a controlled operating model
Why this case matters
What this deployment helps you evaluate
Use this case study to compare process fit, site conditions and expected operating effect rather than only the exact fleet size. In most projects the key question is whether the transport logic matches your own bottleneck.
The strongest reference point is usually route repeatability, pick-up and drop-off logic, mixed traffic and how the first rollout scope supported a measurable business goal such as more stable flow or fewer manual interventions.
Compare where the transport starts, where it ends and which part of the flow needed the highest discipline or automation maturity.
Check whether the case involves similar traffic conflicts, aisle limits, workstations and safety constraints to your own warehouse or plant.
Focus on the operating effect: predictability, buffer discipline, manual workload reduction and readiness for the next automation stage.
FicoMirrors Polska, an automotive Tier-1 plant within the Ficosa group, introduced internal transport automation in response to growing expectations around process stability, safety and predictability. The project focused on making repetitive logistics tasks part of the plant operating model rather than a manual support activity.
Challenge
The plant needed a transport model that would remain stable in a dynamic production environment and support a regular flow of pallets between key process areas. The critical point was reliable execution in mixed traffic with people and manual vehicles.
Solution
The rollout used two AGV forklifts and a task logic matched to the plant rhythm, transfer points and operator interaction model. Additional process rules, site preparation and infrastructure support were included to make the automated flow predictable in everyday operation.
Outcome
The deployment reached a handling capacity of up to 13 pallets per hour while improving transport discipline and operational visibility. The result was not just automated movement, but a more controlled and measurable internal logistics process.
Next step
Do you want to test a similar scenario in your own plant?
We can review your process, compare it with this deployment and point to the AGV / AMR scope that makes the most business sense to start with.