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| Detailed information |
| Pre-requisites |
(*)KS Operations Research und IK Operations Research
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| Original study plan |
Master's programme Business Informatics 2025W |
| Learning Outcomes |
Competences |
| Students have competent knowledge of the existing exact solution concepts that are used in logistics applications. They can formulate planning problems in logistics as mixed integer programs and design, implement, test, evaluate and validate exact solution methods themselves using commercial solver tools.
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| Skills |
Knowledge |
- Learning Outcome 2 (LO2): Explain the key concepts of mixed integer programming.
- Learning Outcome 3 (LO3): Develop an exact solution algorithm based on mixed-integer programming techniques for a given problem from logistics on their own.
- Learning Outcome 4 (LO4): Implement the developed solution algorithm using commercial mixed integer programming solver software.
- Learning Outcome 5 (LO5): Apply and evaluate their implemented approach using benchmark data.
- Learning Outcome 6 (LO6): Describe the developed method in written as well as oral form, according to scientific criteria, in a structured and easily accessible way and to prepare the obtained results in order to derive recommendations for action.
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- Learning Outcome 1 (LO1): Recall important concepts about mixed integer programming, such as modeling techniques, branch-and-bound, branch-and-cut, column generation, branch-and price, valid inequalities
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| Criteria for evaluation |
In total, students have the possibility to reach 100 points (project work + presentation).
1. Exam: After the first content part, there is a written exam on the covered content.
2. Project work: a topic is developed in small groups, a solution procedure is implemented and results are generated and summarized in a seminar paper.
3. Presentation: the problem, solution method and results are presented.
Synchronization of learning outcomes and assessment:
- LO1: Exam
- LO2: Project work+presentation
- LO3: Project work+presentation
- LO4: Project work+presentation
- LO5: Project work+presentation
- LO6: Project work+presentation
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| Methods |
The course uses a combination of different teaching methods in order to
1. maximize the motivation and attention of the students.
2. address the learning objectives in the didactically best way.
This includes the following
- Teacher-centred information inputs, supported by slides and literature.
- Development of content in collaboration with the students.
- Development of a topic as part of project work in small groups.
- Group discussion.
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| Language |
English |
| Study material |
- L. Wolsey, Integer Programming, current edition
- M. Conforti, G. Cornuejols, G. Zambelli, Integer Programming, current edition
- H. P. Williams, Model Building in Mathematical Programming, current edition
- Desaulniers, Desrosiers, Solomon: Column Generation, Springer, 2005.
Pointers to additional literature.
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| Changing subject? |
No |
| Earlier variants |
They also cover the requirements of the curriculum (from - to)
2WCLOOP: SE Computational Logistics: Optimization (2013S-2014S)
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