Data & Classical Analytics / Mathematical Optimization
Supply and production planning optimisation
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 models plan material flow, production slots, and routing to minimize cost while meeting delivery commitments.
Business impact
This can reduce inventory cost and improve on-time delivery in complex multi-product manufacturing environments.
Limitations
Results depend on accurate demand, lead-time, and capacity data. Sudden disruptions still require human intervention, and system integration can be difficult.
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
Amazon uses Gurobi for inventory placement optimisation across fulfilment centres, reducing transport costs and delivery times (Gurobi case study). Siemens Opcenter APS handles line loading at electronics plants — .