Génie industriel - Rubrique Formation - 2022

Scheduling and Transportation - WGUS3035

  • Number of hours

    • Lectures 24.0
    • Projects -
    • Tutorials -
    • Internship -
    • Laboratory works 24.0
    • Written tests -


    ECTS 3.0


Introductory course to two main families of optimization problems: Scheduling and Transportation. These problems along with their modeling and solving approaches will be presented and illustrated through real-life case studies and research articles from sustainable manufacturing systems and supply chains.


Van Dat CUNG



  • Scheduling on One machine : 6h
  • Scheduling Parallel machines : 2h30
  • Uncertainty and scheduling : 2h
  • Facility loocation problems in transportation : 5h
  • Transportation-Service network design : 5h30

    Student presentations of research and technical papers : 3h

Student homeworks:

  • Reading, understanding and preparation of the presentation of one research or technical article
  • Scheduling and transportation projects


Basics in Computer Science (master at least one programming langage such as C/C++, Java or VBA, etc.
and algorithms).


3 marks for each student
Mark A: Reading of article (Scheduling or Transportation) with an oral presentation in trinomial (20 minutes of presentation + 10 minutes of questions) + 2 R/V synthesis of the article and the bibliographical contextualization
Mark CAT: 1 mark of continuous assessment in Transport based on Transport projects
Mark CAS: 1 mark of continuous assessment in Scheduling based on Scheduling projects

Final mark calculus = (A+CAT+CAS)/3

The exam is given in english only FR


The course exists in the following branches:

  • Curriculum - Master GI SIE program - Semester 9 (this course is given in english only EN)
see the course schedule for 2021-2022

Additional Information

Course ID : WGUS3035
Course language(s): FR

You can find this course among all other courses.


M.L. Pinedo, « Scheduling: theory, algorithms and systems », Springer, 2012.
K.R. Baker, « Introduction to sequencing and scheduling », John Wiley, NY, 1974.
J.C. Billaut, A. Moukrim, E. Sanlaville, « Flexibility and robustness in scheduling», Wiley, 2013.
Z. Drezner, H. Hamacher, « Facility Location: Applications and Theory », Springer, 2002.
R. Zanjirani Farahani, M. Hekmatfar, « Facility Location: Concepts, Models, Algorithms and Case Studies », Springer, 2009.
R.K. Ahuja, T.L. Magnanti, J. B. Orlin, « Network Flows: Theory, Algorithms and Applications », Prentice Hall, 1993.