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Stochastic Models in Production and Logistics

MGTHN0157Electives in Management6 ECTSEnglishUnregelmäßigLehrstuhl für Operations Management (Prof. Kiesmüller) (TUM Campus Heilbronn)
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn how uncertainties in production and logistics systems are modeled and analyzed. In the end, you will be able to model systems with Markov chains, queuing models and Markov decision processes, calculate performance metrics and interpret the results.

What you will be able to do

  • Model uncertainty
  • Represent systems with Markov chains
  • Apply queuing models
  • Use Markov decision processes
  • Compute performance metrics of stochastic systems
  • Analyze stochastic manufacturing and logistics systems

What the module consists of

  • Lectureintroduces the content
  • ExercisePreparation and discussion of solution tasks; clarification of questions

Teaching method

  • LectureIntroduction of concepts and models
  • Exercise with prepared problem solutionsConsolidation of material through independent solving and discussion
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Official page in TUMonline · Details are not binding.