KMES System Use Cases

The KMES System is engineered for the steel industry to optimise complex production logistics, boost operational efficiency and cut manufacturing costs. It tackles core challenges such as diverse material types, intricate workflows, frequent transfers and tight time windows.

Raw Material Inbound Scheduling

Coordinate trucks, trains and other vehicles to deliver iron ore, coal and other raw materials punctually to designated unloading areas and stockyards. The system optimises vehicle routing and berth allocation to reduce waiting times and improve unloading throughput.

Production Line Material Flow

Manage internal transport assets—overhead cranes, forklifts, internal haulage vehicles and AGVs—to move materials between production stages (e.g. furnace to continuous caster, caster to rolling mill, mill to finished-goods store). Real-time tracking of material location and status, coupled with intelligent scheduling of logistics equipment, minimises delays and prevents bottlenecks.

Finished Goods Outbound & Transport

Oversee loading of finished steel products (coils, plates, bars) onto lorries or rail wagons, optimising delivery routes and schedules to customers or distribution centres. Integration with sales orders allows the system to auto-generate outbound and shipping tasks and recommend the best loading plans and transport paths.

Quality Sampling & Transfer

Schedule and dispatch samples from key points in the process (molten steel, billets, finished products) to the laboratory, ensuring rapid, accurate transfer for quality testing. By optimising sampling routes and lab resource allocation, the system shortens turnaround times for test results.

Equipment Maintenance & Servicing (On-Site Service Scheduling)

Arrange maintenance teams—internal or external—for planned shutdowns or emergency repairs, coordinating spare parts and site access to reduce downtime. The system matches tasks to technician skills, spare-part availability and equipment location, then tracks progress through completion.

For detailed implementation examples and integration with existing enterprise systems (ERP, MES, etc.), see the MES case.