Division of Management Science

The science of decision making

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Large amounts of data make decisions in companies complex, but they are in fact essential to business optimization and development. In the Management Science Division, we do research on how companies and authorities make managerial decisions on the best possible foundation. We provide decision support methods and tools at strategic, tactical and operational level.

Our research ranges from mathematical-based optimization models to process-oriented management models and is used in basically every sector. We are world leading in maritime logistics and our researchers are internationally recognized in areas such as transport, energy infrastructure, the education sector, as well as the healthcare and pharmaceutical industries. We conduct research in planning, production management, e.g. optimization and reduction of product complexity as well as organizational change from products to services.

In our recent initiatives, we focus on financial engineering and business analytics, where results from machine learning and artificial intelligence are used in management science.

We support the sustainability perspective as a key element in corporate and government decision-making. Specific examples are offshore wind farm planning, resource-saving network design for container shipping companies and system optimization for electrification of the transport sector.

Through our teaching, we seek to enable future engineers to take part in the decision making process. This is important as engineers are often part of the management team and are responsible for establishing a quantitative analytical decision base in top management.

We have extensive research collaboration with leading universities and companies from all over the world. If you are interested in a partnership or would like to know more about opportunities to partner with us, please take a look

Contact Head of Division

Jesper Larsen

Jesper Larsen Professor, head of division, head of section Phone: +45 45253385