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Operations & Supply Chain Management

WI201063Areas of Specialization5 ECTSEnglishsummer semesterStudiengangsbündel Executive & Professional Education
AI-edited module sheet. Based on the TUMonline module description, edited for readability.Original in TUMonline

What it is about

You will learn how operations and supply chain structures are designed to support competitive strategy, logistics capabilities, and financial performance. The module conveys methods for designing robust, resilient supply chains and efficient production/logistics processes, as well as the use of digital technologies and AI for risk mitigation and decision support.

What you will be able to do

  • Analysis of operations and supply-chain structures with regard to strategy and financial impact
  • Assessment of supply-chain risks from global disruptions, geopolitics, and regulation
  • Application of quantitative methods: network design, simulation, inventory analysis, assembly line and queueing models
  • Assessment of the value of digital technologies, AI, and supply-chain visibility for risk mitigation
  • Development of computer-based models and scenario analyses with LLMs and optimization tools
  • Development and defense of evidence-based recommendations for resilient and responsible supply chains
  • Analysis of KPI dependencies and application of Little’s Law
  • Application of principles for assembly line design
  • Development of KPIs for queueing systems
  • Evaluation of the choice of push vs. pull systems, single- vs. multiple-lines, and sequencing policies

What the module consists of

  • Interactive lecturesConveying core concepts from supply chain and operations
  • Case-based discussionsApplying theory to real supply-chain cases
  • Quantitative exercisesTraining in operations models, derivation and interpretation of solutions
  • SimulationsScenario analysis and decision support in dynamic situations
  • Group work with presentationsDevelopment and communication of supply-chain analyses

Teaching method

  • Interactive lecturesExplain concepts and refresh theoretical foundations
  • Case-based discussionsAnalysis of real problems and development of actionable recommendations
  • Quantitative exercises / problem-based learningPractical application of models, correct use of formulas and transparent derivation
  • Simulation and group workEnables scenario analyses, coordination experience, and presentation skills
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Official page in TUMonline · Details are not binding.