Green steel transformation at ArcelorMittal Eisenhüttenstadt
How FESIOS simulated eight plant configurations to quantify productivity impacts and guide ArcelorMittal Eisenhüttenstadt's green steel transformation.
Learn MoreProduct Logistics
From caster runout to storage to dispatch — this area is pure logistics. Blocking, reshuffling, and crane interference eat into your capacity. Our models quantify these losses so you can eliminate them.
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Questions We Help You Answer
- What is the true capacity of my storage and dispatch system?
- How much throughput do I lose to reshuffling and re-handling?
- Can my cranes serve both production and shipping without conflict?
- What's the optimal stacking and retrieval strategy?
- How does a product mix change affect my storage capacity?
- Do I need an additional crane or better scheduling?
What We Model
Caster Runout
Pusher tables, cooling beds, roller tables, and switches — mechanically accurate to identify hidden bottlenecks.
Storage Systems
Billet, bloom, slab, or coil level tracking. Stack positions, storage assignment rules, and nominal vs. effective capacity.
Crane Scheduling
Overhead and gantry cranes with interference detection, priority rules, and shared resource coordination.
Dispatch Logic
Truck and train loading sequences, shipping schedules, and due-time prioritization.
Hot Charging
Direct transfer from caster to reheating furnace — timing constraints, buffer management, and energy savings potential.
Peak Load Scenarios
Maintenance windows, equipment failures, and seasonal demand spikes — stress-test your system's resilience.
Proven Results
"Predicted 21% higher tundish costs due to lower sequence length."
— voestalpine
"For 17% of steel grades the LF-heating costs will increase by 30%."
— ArcelorMittal Eisenhüttenstadt
"Crane investment vs. optimized scheduling — true capacity ceiling identified."
— Coil logistics study
"Impact of product program changes quantified before CAPEX decision."
— Multiple steelmakers
What's at Stake
Storage and dispatch bottlenecks cascade upstream — if you can't clear the caster, you can't cast, and if you can't cast, the melt shop backs up.
- Storage capacity overestimated because reshuffling wasn't accounted for
- Crane interference between production feeding and truck loading
- Hot charging targets missed due to timing mismatches
- Dispatch delays causing costly demurrage fees
Every one of these was preventable with simulation.
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Learn MoreNever use averages for crane bottleneck detection in melt shops
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