Optimization
Engines that model the problem and drive it to the best answer. Schedules, capacity and routes aren't set by trial and error — a mathematical model drives them to the best answer.
Request a short diagnosticOptimization & Scheduling
Which job runs when, with which resource, is set by trial and error; the best option stays unseen.
Setting which job runs when, with which resource, in the best possible way.
- Production scheduling and sequencing
- Line balancing and work allocation
- Cutting, nesting and material utilisation
- Resource allocation
Supply Chain & Fleet
Routes, shipments and warehouse layout are planned by habit; the wasted distance and capacity go unnoticed.
Planning the shipping network, the warehouse and the fleet by measurement.
- Route and fleet optimisation
- Supply chain optimisation
- Warehouse layout and picking routes
Capacity & Production Planning
Capacity, energy and the production plan are decided separately, in disconnected calls.
Driving capacity, energy and the production plan to the best answer together.
- Capacity optimisation
- Production planning
- Planning around energy consumption and tariff windows
Which job runs on which machine, and when, this week?
What delivery date can we actually promise on this order?
In what order and on which routes should the vehicles go out?
Can we take more work without adding capacity?
At an injection-moulding producer, machine, mould and shift constraints are written into a mathematical model. The model places open orders into a weekly schedule, weighing lateness against changeover cost at the same time. The planner locks any job by hand and the model re-solves the remaining space. Expensive hours on the energy tariff enter as a constraint, and heavy-draw jobs move outside them. Every solve records schedule utilisation and total lateness.
The job list: orders, quantities and due dates.
The resource list: machines, lines, vehicles and the shift pattern.
Process and setup times; estimates are enough to start.
Hard constraints: which job cannot run on which resource.
What counts as better: lateness, utilisation or cost.
The acceptance measure is schedule utilisation: the model's plan and the plan made the current way are compared under the same constraints, on utilisation and on lateness.
Not just what is delivered — that it works is proven
The assurance layer is not an add-on sold later; it ships inside every solution. Concreteness comes from mechanism, not numbers.
How we work