Manufacturing Systems Modeling and Analysis

In the Manufacturing Systems Modelling and Analysis module, students gain an in-depth understanding of the modelling and analysis of manufacturing systems. The focus is on the combination of theoretical concepts, in particular modelling using continuous-time Markov chains, and their practical application with the help of analysis tools in Python.

Contents of the module:

• Fundamentals of manufacturing systems for discrete products
• Performance analysis: throughput, cycle time and inventories
• Dealing with uncertainties: Stochastic processes and random events
• Exact probabilistic analysis with Markov chain models for stochastic manufacturing systems
• Simulation methods: Discrete-event simulation with Python
• Approximate analyses for the evaluation of complex systems

The module offers a balanced combination of lecture and an accompanying exercise in which students learn to apply advanced analysis methods to optimise production processes. The use of Python as a tool promotes the development of technical and programming skills. Basic programming skills in Python are required. This module is ideal for students who are interested in data-driven modelling and optimisation of manufacturing systems.