MGT-530 / 3 credits

Teacher: Gallay Olivier

Language: English

Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.


Summary

In this course, we address quantitatively the operational aspects linked to the management of supply chains. Focusing on practical situations, focus will be paid on the optimization of logistics systems, in particular when the objective is to minimize their associated environmental footprint.

Content

Keywords

- Logistics

- Optimization

- Sustainability

Learning Prerequisites

Important concepts to start the course

- Basic knowledge of Python

Learning Outcomes

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

  • Analyze and differentiate the different components that are composing the supply chain
  • Recognize and perform to the mathematical modeling of typical situations arising in logistics systems
  • Solve these models by using various tools from operations research, ranging from exact approaches to heuristics
  • Analyze the results and draw managerial insights accordingly

Assessment methods

- Mid-term quiz: 30%

- Team project: 70%

Supervision

Office hours No
Assistants Yes
Forum Yes

Resources

Bibliography

- A Gentle introduction to optimization, B. Guenin, J. Könemann and L. Tunçel, Cambridge University Press, 2014

Ressources en bibliothèque

Notes/Handbook

- Slides will be provided

Moodle Link

In the programs

  • Semester: Spring
  • Number of places: 40
  • Exam form: During the semester (summer session)
  • Subject examined: Digitalization & sustainable logistics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 1 Hour(s) per week x 14 weeks
  • Semester: Fall
  • Number of places: 40
  • Exam form: Written (winter session)
  • Subject examined: Digitalization & sustainable logistics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 1 Hour(s) per week x 14 weeks
  • Semester: Spring
  • Number of places: 40
  • Exam form: During the semester (summer session)
  • Subject examined: Digitalization & sustainable logistics
  • Lecture: 2 Hour(s) per week x 14 weeks
  • Project: 1 Hour(s) per week x 14 weeks

Reference week

 MoTuWeThFr
8-9     
9-10     
10-11  CO120  
11-12    
12-13     
13-14  CO120  
14-15     
15-16     
16-17     
17-18     
18-19     
19-20     
20-21     
21-22     

Wednesday, 10h - 12h: Lecture CO120

Wednesday, 13h - 14h: Project, other CO120