Manufacturing systems and supply chain dynamics

MICRO-448 / 3 credits

Teacher(s): Filliger Roger, Gallay Olivier

Language: English

Summary

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

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.

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:

  • Identify and characterize the relevant parameters that are influencing material flows in production lines.
  • Synthesize the influence of buffers on the performance of transfer lines.
  • Compute optimal hedging stock policies.
  • Model the general dynamics of simple supply chains, and discuss linear stability issues.
  • Examine the behaviour of manufacturing systems and supply chains using a discrete-event simulator.

Transversal skills

  • Use a work methodology appropriate to the task.
  • Plan and carry out activities in a way which makes optimal use of available time and other resources.
  • Use both general and domain specific IT resources and tools
  • Write a scientific or technical report.

Assessment methods

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

Supervision

Office hours No
Assistants No
Forum Yes

Resources

Virtual desktop infrastructure (VDI)

No

Ressources en bibliothèque

Notes/Handbook

Manuscript and slides available in English.

Books:

  • Manufacturing Systems Engineering by Stanley B. Gershwin
  • Factory Physics by W. J. Hopp and M. L. Spearman
  • Stochastic Models of Manufacturing Systems by J. A. Buzacott and J. G. Shanthikumar

Moodle Link

In the programs

  • Semester: Spring
  • Exam form: Oral (summer session)
  • Subject examined: Manufacturing systems and supply chain dynamics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Semester: Spring
  • Exam form: Oral (summer session)
  • Subject examined: Manufacturing systems and supply chain dynamics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Exam form: Oral (summer session)
  • Subject examined: Manufacturing systems and supply chain dynamics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional
  • Exam form: Oral (summer session)
  • Subject examined: Manufacturing systems and supply chain dynamics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Exercises: 1 Hour(s) per week x 14 weeks
  • Type: optional

Reference week

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