Course unit

Design and performance evaluation of manufacturing systems

Last updated: 26/09/2024

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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 :

  1. 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.
  2. 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