Course unit
Design and performance evaluation of manufacturing systems
Last updated: 26/09/2024
Edit
Course Director(s):
DELORME Xavier
General Description:
The objective of this course is to detail the advanced methods of decision support allowing the reduction of the industrialization cycle between the design of a new product and its appearance on the market, the reduction of manufacturing costs and the improvement of working conditions. It is based on two main parts :
- Design of manufacturing systems - Three major issues in the design of manufacturing systems are discussed in depth and are illustrated with examples of concrete problems (Assembly line balancing, Mix-model and Multi-model lines, Resources assignment). Advanced methods based on known Operational Research techniques and recent research work are proposed for each type of problem.
- Performance evaluation - The formalities of representation and techniques for evaluating the performance of production systems are discussed here. The discrete event simulation already discussed elsewhere will not be addressed and we focus on analytical tools for performance evaluation.
- Modeling of dynamic behaviors: Automaton, Petri nets, Markov chains, Queueing networks, etc.
- Performance evaluation with Markov chains, Queueing networks and Petri nets
- Performance evaluation of production lines
- Performance evaluation of Kanban systems
Key words:
Design of manufacturing systems
Line balancing
Combinatorial optimization
Markov chains
Petri chains
Queueing networks
Performance evaluation
Number of teaching hours
30
Fields of study
Industrial engineering, Production, Logistics
Teaching language
English
Intended learning outcomes
| On completion of the unit, the student will be capable of: |
Classification level |
Priority |
| Understanding of the main step of the design of a manufacturing system |
4. Analyse |
Important |
| Modeling and solving the main line balancing problems |
4. Analyse |
Important |
| Modeling of the dynamic behavior of production systems |
4. Analyse |
Important |
| Evaluation of the performance of production systems |
4. Analyse |
Important |
Learning assessment methods
|
Percentage ratio of individual assessment
|
Percentage ratio of group assessment
|
|
Written exam:
|
100
|
%
|
Project submission:
|
|
%
|
|
Individual oral exam:
|
|
%
|
Group presentation:
|
|
%
|
|
Individual presentation:
|
|
%
|
Group practical exercise:
|
|
%
|
|
Individual practical exercise:
|
|
%
|
Group report:
|
|
%
|
|
Individual report:
|
|
%
|
|
|
|
|
Other(s): %
|
Programme and content
| Type of teaching activity |
Content, sequencing and organisation |