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Service Operations Management

MGT001034Specialization in Management6 ECTSEnglishsummer semesterLehrstuhl für Operations Management (Prof. Kolisch)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn key planning problems in service systems (e.g., queues, facility location, resource and staff planning, appointment scheduling). In the end you will be able to formulate suitable optimization models and implement and interpret them in Python using the industrial solver Gurobi.

What you will be able to do

  • Know the most important planning problems in Service Operations
  • Formulate appropriate optimization models for these problems
  • Implement the models with Python and Gurobi
  • Analyze solution efficiency and managerial implications

What the module consists of

  • LectureIntroduction and motivation of the problems; presentation of optimization models and solution methods
  • ExerciseGuidance for the implementation of the methods in Python and Gurobi as well as interpretation of the results

Teaching method

  • LecturePresent real-world problems and explain models/solution methods
  • Exercise/Practical ImplementationInstruct students in implementing and solving instances with Gurobi
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