Control of manufacturing systems

URL study guide

Description

1. Architecture of Manufacturing systems
2. Performance criteria such as utilization, throughput and flowtime
3. Queueing models and their analysis
4. Stochastics and variability
5. Discrete-event simulation
6. Modular simulaton models
7. Optimization using discrete-event simulation
8. Digital twins

Objectives

1. knows and understands the mathematical foundations of queueing theory and knows how the different concepts are linked
2. can formulate queueing models to represent a manufacturing system with the purpose of determining performance indicators such as throughput and flow time of such a system.
3. can analytically determine performance indicators such as throughput and flowtime of a give queueing model
4. knows and understands the concept of discrete event simulation and its purpose and limitations
5. can formulate discrete event simulation models and use discrete even simulation to establish performance indicators by means of the chosen language/tool for complex manufacturing systems (for which analytical methods are not well-applicable)
6. knows and understands the concepts of push and pull control strategies and knows how they differ
7. can implement several push and pull control strategies in discrete event simulation models
8. uses techniques to compare performance of different manufacturing systems
9. uses techniques to propose manufacturing systems with improved performance

Method of Assessment