Assigning Students to Schools for an Internship

Michael Stiglmayr (), Simon Görtz () and Kathrin Klamroth ()
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Michael Stiglmayr: University of Wuppertal, School of Mathematics and Natural Sciences
Simon Görtz: University of Wuppertal, Administration Department of Studies, Teaching and Quality Management
Kathrin Klamroth: University of Wuppertal, School of Mathematics and Natural Sciences

A chapter in Operations Research Proceedings 2018, 2019, pp 151-157 from Springer

Abstract: Abstract Every student in North Rhine-Westphalia, Germany, studying to become a teacher, has to complete a semester of practical training at a school. In order to assign students to schools and thereby satisfy the requests of the students, without exceeding capacity limitations at the schools, a discrete, assignment-like optimization problem is formulated and solved to optimality. Since students study two major subjects, a school has to provide capacities in both of them to be a candidate for a feasible assignment. An additional requirement comes from the fact that students have to attend seminar courses in the respective subjects during their internship. The overall optimization problem is a generalized assignment problem, which has an alternative interpretation as a fixed-charge multicommodity flow problem.

Keywords: Assignment problem; Integer programming; Fixed-charge multicommodity flow; Fixed-charge network flow; COIN-OR Cbc (search for similar items in EconPapers)
Date: 2019
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DOI: 10.1007/978-3-030-18500-8_20

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