Data & Classical Analytics / Mathematical Optimization
Shop-floor scheduling and resource balancing
LiveCorehigh effect
Core capability
The system computes the best feasible production or logistics plan under real constraints, helping improve throughput, delivery reliability, and cost efficiency.
How it works
Business rules, capacities, deadlines, and resource limits are encoded mathematically, and the solver computes the best feasible plan instead of leaving planners to resolve trade-offs manually.
Application here
Optimization algorithms balance machine time, labor, and due dates to generate production schedules.
Business impact
This can improve equipment utilization and reduce schedule-related delays, supporting better OEE and delivery performance.
Limitations
Real production conditions change constantly, so schedules can become outdated quickly. Frequent rescheduling may also confuse operators.
In production
This is already a real production capability in many companies: the system helps build better plans for production, logistics, and resources under real business limits.
Research
The direction of travel is toward systems where a planner describes the problem in business language and the software helps turn that into a solvable planning model much faster than today.
Examples
Siemens Opcenter APS is used at Foxconn plants for shift scheduling considering machine, labour and material availability — OEE improved 5–8 % (Siemens customer reference). DELMIA Quintiq schedules production at Unilever plants — .