You should always expect anything.
Even the best.
Numbers are our profession. We are just as familiar with current mathematical methods as we are with optimization algorithms and software-technical realization. Why is this relevant for you? Because you can always count on us. Math.Tec develops optimization models for you in the areas of warehouse logistics, production logistics, transport logistics and industry and implements them concretely. We accompany and support you in efficiency increase and cost reduction programs on the basis of customized mathematical optimization approaches. And that’s a calculation that works.
Mathematical models make it possible to profitably answer questions in logistics, engineering and finance as well as in industry, business and administration.
The logical way
Mathematical modeling means expressing a real problem in the language of mathematics in order to solve this very problem with the help of mathematical tools. The starting point is a real problem. From this we develop a mathematical problem, a picture of reality, which we solve using mathematical methods. We then interpret the mathematical solution in terms of its real-world meaning and check its relevance.
Different model approaches – deterministic or stochastic, discrete or continuous – are combined appropriately depending on the task.
Of course, there are many permissible solutions. However, only one of them is optimal. We find it with mathematical optimization.
Solutions with system
Mathematical optimization determines the optimal solution in a set of admissible solutions. This set is defined by restrictions – also called constraints – over the decision variable.
Depending on the structure of the constraints, special mathematical optimization problems are obtained. While military applications were initially in the foreground as a result of the Second World War, optimization problems are now applied in logistics, industry and business.
Each category of optimization problem requires a specially adapted solution algorithm. With modern optimization methods we are able to solve problems with many thousands of variables and constraints.
Mathematical simulation is part of the development process of complex dynamic systems. For knowledge about the real system, we perform experiments on a “virtual” model.
The better reality
In a simulation, we perform various “virtual” experiments on a model and thus gain knowledge about the real system. This mathematical simulation or computer simulation is an essential part of the development of complex dynamic systems. It makes it possible to evaluate a mathematical model.
If one is also dealing with a large amount of data, simulation results or even measurement data must be visualized. The basis of a computer simulation is usually a numerical method or an algorithm.
With it we solve the given mathematical problem approximatively. A run on the computer with concrete parameter values represents a simulation experiment, the results of which are interpreted and transferred to the real system. Such a simulation is used for logistic, technical or financial requirements.
Big Data, maschinelle Lernverfahren und sprechende Maschinen: Ohne Künstliche Intelligenz ist unser Leben nicht mehr denkbar. Wir entwickeln dazu geeignete Algorithmen und integrieren sie in Ihre Business-Applikationen.
The balance of man and machine
Artificial Intelligence – AI for short – has arrived in everyday life. In the form of digital assistants and autonomous vehicles, talking devices and cooperative robots, we now come into contact with Artificial Intelligence on a daily basis. The digitization of all sectors of the economy is advancing rapidly.
AI’s machine learning techniques enable us to identify complex relationships in large amounts of data – this is becoming increasingly important due to Big Data. They also help us predict future events based on the past.
AI is creating a new communication interface with our homes, our workplaces, cars, wearables. Algorithms have always been an integral part of Math.Tec’s software solutions. We develop AI algorithms and integrate them into our customers’ business applications.
Warehouse Optimization System
Depending on the initial situation, we can achieve savings of up to 20 percent by optimally positioning the goods in the warehouse. Converted, this naturally means a significant reduction in overall picking costs. And a major advantage for your company.
Effective route plans are not witchcraft. But it is a calculation: We find a solution adapted to your individual circumstances, such as delivery details, time windows or vehicle size, and optimize the processes using mathematical algorithms. That pays off!
3D packing pattern calculation of load carriers
Being in the picture about success: MATH.PACK delivers a packing pattern optimized for volume and stability using item dimensions and individual item characteristics. This allows us to ensure the optimal utilization of load carriers.
We are looking for as reinforcement for our team immediately: