Industrial Systems Modeling

Industrial Systems Modeling

InstructorMario Fedrizzi
PeriodFirst semester
Length (h)6

Course Objectives

This course aims at developing capabilities of systems thinking by introducing basic engineering theory, methods, and tools, aiming at:

  • improving the use of systems engineering methodologies & tools to the design of industrial processes
  • enhancing the application of systems engineering methodologies & tools to a real project for a real customer
  • highlighting system engineers’ role and responsibilities within organizations

Course Content Summary

  • Systems theory: A multidisciplinary point of view of the art of managing complexity in an integrated composite of people, products, and processes that provide a capability to satisfy a stated need or objective.
  • Decision making: Decisions under uncertainty and under risk, decisions made by a group, several possibly criteria and contradictory objectives, multicriteria decision modeling.
  • Fuzzy inference system: Definition and structure of a fuzzy inference system (FIS). Block diagram for a FIS. Mandani’s model. Defuzzification methods. Sugeno’s model. Building a fuzzy expert system: Case study.

Teaching methods



Course materials available on e-learning platform Comunità Online