Unmanned Crane and Continuous Material Flow in Steel Production
Heavy-load movements were converted into a safe, traceable crane operation driven by production priorities and stock data.
Company names, facility locations and identifying information have been removed. Performance values are presented as rounded ranges to protect customer confidentiality.
Unmanned Crane and Continuous Material Flow in Steel Production
Coil movements relied on operator decisions while stock position, destination and safe route information remained disconnected.
The objective was to create a sustainable operating model rather than automate an isolated task.
Operational consistency
Coil movements relied on operator decisions while stock position, destination and safe route information remained disconnected.
Integrated architecture
We integrated task management, load identification, positioning, collision prevention and production-system feedback.
Scenario-based acceptance
Normal operation, exceptions, recovery and critical safety scenarios were tested with operations teams.
Engineering approach
From requirement to system behavior
- Field requirements and operating constraints were modelled before implementation.
- Equipment, software and data interfaces were designed around a common operating context.
- Operator guidance, alarms and recovery scenarios were included in the design.
Controlled implementation
- We integrated task management, load identification, positioning, collision prevention and production-system feedback.
- Changes were verified through traceable test and acceptance scenarios.
- Operations and maintenance teams participated in commissioning and handover.
Measurable operational outcome
Material handling became a measurable internal-logistics process with safer routes, fewer empty movements and traceable stock.
