Transportation Logistics: Quantitative Models and Methods

This lecture provides an introductory overview of quantitative models in transportation and logistics. In all lectures, we start with a practical, real-life project that has been conceptualized and implemented for an existing company by the authors in the past. We go through the process of modelling and implementation in order to make the difficulties, pitfalls and challenges of real decision problems visible and apparent.

We make use of the rich tools and methods as well as models from the Operations Reaseach community to approach the practical problems with a theoretical background. We especially will use the modeling language LPL, spreadsheet modeling, programming and commercial Solvers packages to implement the mathematical models and solve them on the computer.
 

Learning Outcomes: 

On successful completion of the course, students should

  • be able to name and identify various quantitative problems in transportation-logistics
  • be able to formulate rudimentary a mathematical model of a problem in this realm
  • be able to design and implement a simplified problem using a mathematical modeling language, Excel or a programming language to formulate and solve it on the computer.
     
Type: 
Course
Semester: 
S2018
ECTS: 
5
Lecturer: 
Site: 
F
Code: 
53066
Language: 
english
Period: 
weekly
Schedule: 
Monday: 9:15 - 12:00
Location: 
UniFR, PER21
Room: 
E130
Evaluation type: 
oral exam
Comment: 

First Lecture
The first lecture will take place on Monday, 19.02.2018 at 09:15 in UniFR, PER21, room E130.

ILIAS
The course page in ILIAS can be found at https://ilias.unibe.ch/goto.php?target=crs_1166787&client_id=ilias3_unibe.