Optimisation

Optimisation is, just like Simulation, a way of modelling real life. In fact, both techniques are complimentary in providing well-thought decision support.

With simulation models it is possible to reconstruct reality in a very high level of detail.: Complicating aspects such as uncertainty, variability and operational complexity can be incorporated. Therefore, these models are perfect playgrounds to validate the effectiveness of new future organisational designs. But the improvement scenarios tested with simulation heavily depend on the creativity of the designer/user itself. There is no guarantee at all that the best solution will be found.
Optimisation models compensate this weak point by calculating the “Optimal” solution autonomously. In order to reduce calculation times of the computer, some assumptions might be needed. It is up to the modelling experts to choose the right assumptions and techniques, to generate powerful and representative solutions for complex optimisation issues.

It should be obvious that an intelligent combination of optimisation and simulation enables us to provide full support for complex issues.

Tools frequently used by our consultants:

Engines: although most frequently commercially available tools are used, dedicated engines are needed for complex optimisation problems, for which generic engines fail in providing (near-) optimal results within a limited calculation time. Our experts are capable to use current state-of-the-art techniques such as dynamic programming and meta-heuristics. Especially for solving complex shop floor scheduling and routing problems dedicated engines provide a perfect outcome.
MÖBIUS suites are developed in-house and are using basic as well as dedicated engines to solve problems in specific fields of Supply Chain.