Group Optimization

»Optimization« colloquially is often used as a synonym for »doing something better«. Mathematical optimization, however, means the targeted search for an optimal solution to a well-defined problem. For this purpose, the planning rules and objectives valid in the company are translated into a mathematical model that takes into account all conceivable solutions for the task at hand. To then solve this model, two requirements need to be met. First, data needs to be available, as this is the basis for decision making. Second, a powerful algorithm is needed, which can solve the optimization problem within the required response time. Given the ever-improving data availability of companies and continuous progress in solution algorithms, it is becoming increasingly possible to mathematically model planning tasks at faster and faster speeds.

Customized optimization software for your use case

The »Optimization« group develops customized optimization software for planning and controlling logistical and industrial processes. We model concrete planning tasks, analyze their complexity, develop suitable solution algorithms, and prepare them for application as optimization software in the partner company. Through our solutions, our partners save time and resources, and can drastically decrease their manual planning efforts.

Trust is good, optimization is better

Our research focuses on particularly difficult optimization problems that are not solved or not solved sufficiently well with standard algorithms. We develop or extend algorithms so that they meet our high standards for performance and solution quality. Together with the groups »Data Science« or »Process Intelligence« we research how optimal decisions can be made based on uncertain information. For example, we can mathematically model the predicted need for spare parts or for transport volumes as a basis for robust decision making.

Competences and methods


  • Integer (non-)linear optimization
  • Problem specific solution algorithms
  • Real-time optimization
  • Optimization under uncertainty
  • Quantum based optimization

Specific domain knowledge

The group »Optimization« applies its methods and competencies in various domains. There is a particular focus on intralogistics, production logistics, transport logistics and raw materials trading.

Rail transport


ADA Lovelace Center - Driver Assistance Systems in Rail Transport

Energy-efficient timetable optimization for the Nuremberg subway system

EKSSE – Energy efficient coordination and control of rail traffic in real time

Circular economy

Focus: Value stream optimization


Network optimization for waste management companies with WasteOPT

Process optimization

Dynamic warehouse planning at Schnellecke

OBER – Optimal inventory planning under uncertainty

AI-based inventory planning for pharmacies

Transport logistics

Artificial intelligence in transportation for emissions reduction

Research in application

The group »Optimization« addresses current research questions in the following research areas:


Field of research

Sustainability in the digitalized supply chain

Data can be used to design and control processes, organizations and systems in such an efficient, resource-saving and socially responsible way that many of the current challenges can be solved in line with the changed approach to sustainability.


Field of research

AI-based demand forecasts for logistics, trade and production

We bring AI-based demand forecasting to bear in logistics, retail, and manufacturing to improve predictions and quantify forecast uncertainties.


Supply Chain Analytics

Mathematics can revolutionize the supply chain - with models and algorithms that reduce complexity and interlinked forecasting and optimization methods.