Coursebooks

Manufacturing systems and supply chain dynamics

MICRO-448

Lecturer(s) :

Filliger Roger
Gallay Olivier

Language:

English

Summary

This course discusses quantitatively some important and generic performance and reliability issues that affect the behaviour of supply chains, and in particular manufacturing systems.

Content

Theoretical review: useful probability distributions and concepts of reliability theory, applied stochastic processes, relevant applied queuing systems, discrete-event simulation framework using AnyLogic.
Material flow analysis and reliability issues in manufacturing systems: machines prone to failure, random production flows in buffered transfer lines, decomposition of transfer lines, performance measures, associated discrete-event simulations.
Hedging point policies for manufacturing systems: dynamic programming principles for safety stock computation, optimality of hedging point policies, inventory management, associated discrete-event simulations.
Supply chain dynamics: stability, bullwhip effect, customer demand satisfaction.

Keywords

Stochastic manufacturing systems, production flows, hedging stock policies, inventory management, supply chain dynamics, discrete-event simulations.

Learning Prerequisites

Recommended courses

MATH 234 Probabilities and Statistics, or similar.

Learning Outcomes

By the end of the course, the student must be able to:

Assessment methods

Final written exam (80% of the grade), project work during the semester (20% of the grade).

Resources

Notes/Handbook

Manuscript and slides available in English.

Books:

In the programs

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11     
11-12     
12-13     
13-14     
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     
Under construction
 
      Lecture
      Exercise, TP
      Project, other

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  • Autumn semester
  • Winter sessions
  • Spring semester
  • Summer sessions
  • Lecture in French
  • Lecture in English
  • Lecture in German