Program Overview

Program Overview

The Sustainable Logistics Operations program is designed to address the management of logistics operations, focusing on their environmental impact. The program aims to provide students with the knowledge and skills necessary to optimize logistics systems and minimize their associated environmental footprint.

Program Details

• Credits: 4
• Teacher: Gallay Olivier
• Language: English
• Withdrawal: It is not allowed to withdraw from this subject after the registration deadline.

Summary

The program focuses on the quantitative management of logistics operations, considering practical situations and the optimization of logistics systems. The objective is to minimize the environmental footprint associated with these systems.

Content

• Chapter 0: Course Description
• Chapter 1: Introduction - Mobility and Transportation
• Chapter 2: Theoretical Foundation - Mathematical Programming
• Chapter 3: Contextualization - Supply Chains and Logistics
• Chapter 4: The Travelling Salesman Problem
• Chapter 5: The Vehicle Routing Problem and Heuristics
• Chapter 6: Variants of the Vehicle Routing Problem
• Chapter 7: Evolutions in the Logistics Sector
• Chapter 8: Packing Problems
• Chapter 9: Facility Location Problems
• Chapter 10: Supply Chains and Sustainability

Keywords

• Logistics
• Operations research
• Optimization
• Mathematical programming
• Sustainability

Learning Prerequisites

• Basic knowledge of Python

Learning Outcomes

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

• Distinguish the different components that compose the supply chain and be aware of logistics situations that arise commonly
• Perform mathematical modeling of typical situations arising in logistics systems
• Solve these models by using various tools from operations research, ranging from exact methods to heuristics
• Analyze the results and draw managerial insights accordingly

Transversal Skills

• Write a scientific or technical report
• Make an oral presentation
• Use both general and domain-specific IT resources and tools
• Demonstrate the capacity for critical thinking
• Take responsibility for environmental impacts of her/his actions and decisions
• Set objectives and design an action plan to reach those objectives
• Plan and carry out activities in a way that makes optimal use of available time and other resources
• Demonstrate a capacity for creativity

Teaching Methods

• Weeks 1 to 8: course (in-class) and practical sessions (in-class)
• Week 9: mid-term quiz (in-class)
• Weeks 10 to 13: individual group meetings for the project (online)
• Week 14: project presentations (in-class)

Assessment Methods

• Mid-term quiz: 40%
• Team project: 60%, with peer review potentially leading to individual grade adjustments

Supervision

• Office hours: No
• Assistants: Yes
• Forum: Yes

Resources

• Virtual desktop infrastructure (VDI): No
• Bibliography:
  • (optional) A Gentle introduction to optimization, B. Guenin, J. Könemann, and L. Tunçel, Cambridge University Press, 2014

Program Information

• Semester: Spring
• Number of places: 40
• Exam form: During the semester (summer session)
• Subject examined: Sustainable logistics operations
• Courses: 2 Hour(s) per week x 14 weeks
• Project: 2 Hour(s) per week x 14 weeks
• Type: mandatory

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