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      Possibilities and Benefits of Simulation for Decision Support

      Rapidly changing markets, mass customization, demographical pressures, globalization and the technological advances that Industry 4.0 is bringing all require effectively managing change. Simulation is a powerful tool to predict change, allowing virtual testing of potential improvement scenarios, and therefore supporting their effective implementation.

      Learn how simulation can be used

      Lectures are based on recent advances in operational research and operations management, guest lecturers from industry and healthcare, laboratory exercises in which the students experience how simulation and optimization can inform decision-making in complex systems, and peer discussions. During the course, the students will work on their own real-world projects/problems/opportunities, identifying in which cases simulation is an appropriate technique to support them in their organizations.

      Who is the course for?

      The course targets managers and professionals from SMEs or large organizations interested in understanding how simulation can support their decision-making processes, and its limitations and drawbacks, including aspects of how simulation can be integrated into the work standards of the organization (e.g. LEAN) and support sustainable development. 

      After completing the course, you will be able to:

      • Explain and discuss the benefits and possibilities of using simulation and its different paradigms to support decision-making in systems design and improvement at strategic and operational levels
      • Demonstrate an understanding of the different steps needed to conduct a simulation study
      • Analyze and evaluate simulation and optimization results as an input to evidence-based decision support
      • Identify and justify suitable projects in a specific organization where simulation can be applied, as well as when it is not appropriate to use
      • Identify and critically discuss how simulation can be introduced as a tool in the existing standards of an organization and to support sustainable development.

      Entry requirements:

      The entry requirements for this course are a Bachelor’s degree of at least 180 higher education credits (equivalent to 180 ECTS) within the fields of integrated product development or production engineering or automation engineering or mechanical engineering or information technology or similar field, and a minimum of 12 months of documented work experience in a relevant domain.

      If you do not fulfill the higher education requirement, you can apply to be assessed based on your work experience alone. You can use the skills description template to describe your work experience.

      Practical information:

      • Course period: Week 6 - Week 15 2020
      • Rate of study: 25% (10 hours/week)
      • Applications remain open until 2 weeks before the course starts. 
      • Course syllabus

      Application information

      Contact

      Associate Senior Lecturer in Production Engineering