Our methods

Understand the system.Find the better decision.

We build models that make complex decisions manageable.

A mathematical model captures what matters in your operations: the choices you can make, the limits you face, and the goals you want to achieve. Optimization and simulation turn that understanding into a basis for action.

Explore the approach

The approach

From real-world data
to decisions you can use.

The model connects your data to your decisions. Its structure can be reused as demand, resources, or priorities change.

  1. 01InputPrepare the evidence
  2. 02ModelRepresent the system
  3. 03DecisionPut results into practice

01 / Input

Start with the right information.

We prepare, clean, and validate data from your existing sources. Together with your experts, we identify which inputs describe the planning problem and check that they reflect operational reality.

Typical inputs

  • Demand over time and production quantities
  • Resource and transport capacities
  • Costs, processing times, and setup times

02 / Model

Make the logic explicit.

We translate activities, resources, and business rules into a mathematical representation. The model makes objectives and trade-offs explicit, while constraints define which decisions are feasible.

We validate assumptions and results with your domain experts before using the model to support decisions.

Two complementary tools

Optimization
Find a good or optimal plan within the model’s objectives and constraints.
Simulation
Explore system behavior and compare scenarios before making changes.

03 / Decision

Turn the result into a next step.

Model outputs become plans, recommendations, or decision-support software. Clear interfaces and dashboards help your team interpret results, compare alternatives, and act on them.

Decisions the model can support

  • Which products to make, when, and in what quantities
  • Where to allocate warehouse space and how to route deliveries
  • How to schedule crews and use available capacity

New conditions. The same model. Update the inputs, compare scenarios, and plan again. Revisit the model when the underlying system or its assumptions change.

Why model-based decisions?

A clearer view.
A stronger basis for action.

A model is useful when it helps you understand your options and make a better choice. We focus on the decisions that matter to your organization.

01 /

See the trade-offs

Compare objectives and alternatives on a consistent basis, with assumptions and limits made explicit.

02 /

Use resources effectively

Identify better allocations of capacity, people, and materials within your operational constraints.

03 /

Respond to change

Reuse the model to evaluate new inputs and reduce repetitive manual planning work.

04 /

Find cost-saving opportunities

Examine where production, storage, transport, or energy decisions can reduce avoidable costs.

Grounded in research

Methods with
a scientific foundation.

Explore selected publications on the modeling approaches behind practical planning problems.

See our applied projects

Your planning challenge

What could a model
make possible for you?

Let’s explore your system, your goals, and the decisions you want to improve.

Talk to our team