Manufacturing systems and supply chain dynamics
MICRO-448 / 3 credits
Teacher(s): Filliger Roger, Gallay Olivier, Rodriguez Julio Enrique
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
- Courses: 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
- Courses: 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
- Courses: 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
- Courses: 2 Hour(s) per week x 14 weeks
- Exercises: 1 Hour(s) per week x 14 weeks
- Type: optional