ORL-30806 Operations Research and Logistics

Course

Credits 6.00

Language of instruction:

English

Assumed knowledge on:

ORL-20306 Decision Science 1

Contents:

This course broadens en deepens the knowledge and skills acquired in ORL-20306 Decision Science 1.
The focus is on supporting logistical decision processes in an industrial environment by means of quantitative models and techniques. Long-term as well as short-term management/control of good-flows and required production factors are studied. Some of the topics: location-allocation problems (strategic control level), production planning and inventory management (tactical control level), operations scheduling and routing problems (operational control level), non-linear programming.

Learning outcomes:

After the course the students are expected to be able to:
- recognise and classify typical decision problems in logistics;
- formulate a quantitative decision model in case a problem is presented;
- select the appropriate algorithm to solve the formulated problem;
- apply these algorithms to quantitative models;
- analyse the effectiveness and efficiency of algorithms;
- search for appropriate articles in scientific OR journals;
- communicate on the tenor of a scientific OR article in a presentation.

Activities:

- studying the literature;
- acquiring knowledge, skills and insight by active participation in the tutorials;
- making exercises and acquiring skills by active participation in the tutorials;
- study with a group an article and present a summary (assignment).

Examination:

Written exam and assignment. Both must be passed.

Literature:

Ghiani G, Laporte G, Musmanno R. 2004. Introduction to Logistics Systems Planning and Control.
Syllabus Operations Research and Logistics. Course guide available.