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Snow removal in a city is a major undertaking that requires route planning and efficient driving schedules. It is a difficult and complex optimization problem and research is needed to be able to get good solutions.

Decision problems for dynamic systems with timeliness or performance requirements can be formulated as discrete optimization problems.

Researchers at the Mathematics Department of Linköping University have developed a mathematical model on how snow removal can be optimized in Swedish cities.

In democratic elections, the number of seats in parliament is to be proportionate to the number of votes. However, that is not the case. An optimisation model has been developed at LiU, one which gives a better reflection of the will of the people.