Software for planning, optimization, simulation and control of logistics processes.

Today logistics means much more than just the transport or storage of goods. It refers to the organization, planning and control of complex goods, people and information flows. But the reactions to short-term changes in the framework conditions of the supply network are also becoming increasingly more important. The design of logistics processes and their mapping into IT systems are thereby crucial for the quality of services and products, for the costs and profits and, ultimately, for the sustainable success of the company.

In the subject area of Smart Transportation Logistics, we are concerned with the organization and the management of logistics flows and material flows, as well as with the collection and processing of information about them. Here we use efficient and innovative algorithms for information, communication and position detection.

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The planning and control of cross-company logistics processes is dealt with in the subject area of Information Systems for Logistics Networks. An important aspect is the efficient design of the information flow by using modern technologies for communication and the interaction of systems. The material flow and production planning area covers in-plant logistics topics. This section deals with the operational control of individual areas such as automated transport management systems or the control of storage areas, up to fully automated production control centres. In the subject area of detailed production planning, batch size coupling and sequencing, we use our know-how in the field of mathematical modeling and the solution of these models to develop customized tools.

The decisions in this area can be validated using simulation methods. In the age of Industry 4.0, company data is increasingly viewed as part of value creation. In the last few years, digitalization and automation have allowed for comprehensive data collection, which, however, poses major challenges for many companies. On the one hand, real-time data for the response to short-term changes have to be analyzed and processed. On the other hand, future events should be projected from the collected data.