Transportation Analytics (Master Program)

Announcements

The lecture corresponds to the lectures of the course "Transportation Logistics". In addition to that, the term project takes place in January and early February. For more information, please go to TUM-Online.

Course Description

• This course focuses on modelling and implementing various transportation and routing problems 
  • Traveling Salesman Problems
  • Vehicle Routing Problems
  • Inventory Routing Problem
  • Network Design Problems
  • Maritime Logistics
  • Rail transportation
  • Urban Logistics
• Course material will be made available in time

Course Structure

• Integrated theory and implementation sessions on Wednesday
• Transportation Logistics (Bachelor)
  • Knowledge is required
  • Transportation Analytics course is aligned with Transportation Logistics
  • Missing knowledge can be aquired by visiting the lectures (exercises are not necessary)
• Assignments

Learning Objectives

Students get deeper insights into logistics, routing and transportation problems. They learn how to efficiently model these, and learn how to implement decision support tools using commercial solvers. 

Methods

The course consists of a series of practical sessions focusing on modelling and implementation. In the accompanying lectures, students aquire theoretical knowledge of those problems.

Grading

The grading is based on group assignments throughout the semester.

Literature

• Toth, P., Vigo, D. (2014), Vehicle Routing – Problems, Methods, and Applications, 2nd ed., Siam
• Williams, H.P. (2013), Model Building in Mathematical Programming, 5th ed. 
• Hillier, F., Lieberman, G. (2015), Introduction to Operations Research, 10th ed., McGraw-Hill