LOG904-131 Applied dynamic and stochastic programming for logistics

LOG904-131 Applied dynamic and stochastic programming for logistics

Course code: 
Course name: 
Applied dynamic and stochastic programming for logistics
Program of study: 
MSc in Logistics - Seminars
Level of study: 
2. syklus (master)
Teaching semester: 
2016 Høst
Assessment semester: 
2016 Høst
Language of instruction: 
Language of examination: 
Language of litterature: 
Course content

The course focuses on building of optimization models and on key ideas of selected solution methods that are suitable for applied problems in logistics. Most real-world applications must involve quantitative techniques. Therefore, the course may help students with computational parts of their master theses and with quantitative challenges in their jobs in the future.

Step-by-step, we will follow and develop principal techniques for the cases where uncertainty (e.g. in demand) and time (e.g. planning horizon) must be considered. General outline –

Day 1: separability,

Day 2: decomposability,

Day 3: more decision stages,

Day 4: uncertainty by scenarios.

We will study fundamental concepts by using explanatory educational examples to get insight.

Motivating real-world industrial applications will be discussed, which have recently been solved with participation of the lecturer and his colleagues (also from Molde University College).

The lecturer utilizes (and reviews, if necessary) basic concepts from introductory optimization and mathematical courses.

Course participants will work in groups and they will defend submitted results of solved exercises on Day 5 during an oral exam

Lecturer: Pavel Popela, Brno University of Technology, Czech Rep. ( popela@fme.vutbr.cz )