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Sustainable Logistics

  • Teacher(s):   O.Gallay  
  • Course given in: English
  • ECTS Credits: 6 credits
  • Schedule: Spring Semester 2020-2021, 4.0h. course (weekly average)
  •  sessions
  • site web du cours course website
  • Related programmes:
    Maîtrise universitaire ès Sciences en management, Orientation Behaviour, Economics and Evolution

    Master of Science (MSc) in Management, Orientation Strategy, Organization and Leadership

    Master of Science (MSc) in Management, Orientation Marketing

    Master of Science (MSc) in Management, Orientation Business Analytics
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Objectives

In this course, we address quantitatively the operational aspects linked to the management of supply chains. More precisely, and focusing on practical situations, the aim of this course is the optimization of logistics systems, in particular when the objective is to minimize their associated environmental footprint. At the end of the course, students are expected to be able to:

- Understand 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 methods to heuristics.

- Analyze the results and draw managerial insights accordingly.

Contents

- General introduction on supply chains, logistics, and sustainability

- Main tendencies and new technologies in logistics

- Elements of linear and integer programming

- Introduction to complexity theory

- Heuristics

- Introduction to multi-objective optimization

- Traveling salesman problem and vehicle routing problem

- Packing problems (knapsack problem, bin-packing problem)

- Container loading problem

- Facility layout

- Facility location problem

- Overview of other standard optimization problems in logistics

- Introduction to Integrated optimization

- Specific programming tools: python and commercial solvers (e.g., Gurobi)

References

Books:

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

Pre-requisites

- Basic optimization course, e.g., Optimization Methods in Management Science (HEC Lausanne, Dr. Rodrigue Oeuvray).

Evaluation

First attempt

Exam:
Without exam (cf. terms)  
Evaluation:

- Online quizzes during the semester

- Project work during the semester

Retake

Exam:
Without exam (cf. terms)  
Evaluation:

- Exam: oral evaluation

- Project work during the semester remains achieved



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