Facts about the course

Study points:
Responsible department:
Faculty of Logistics
Course Leader:
Berit Irene Helgheim
Lecture Semester:
Teaching language:
½ year

LOG904-115 Integer Optimization Models in Logistics (Autumn 2018)

About the course

The course focuses on training in developing and solving integer programming optimization models for various logistics problems taken from production, procurement, distribution  planning. The purpose of the seminar is to give students a considerable hands-on Integer Optimization modelling experience. The course deals with logic relations and the use of binary variables in modelling.


The course is connected to the following study programs

Recommended requirements

LOG716 ¿ Mathematical Modelling in Logistics course practical experience in AMPL/CPLEX software.

The student's learning outcomes after completing the course

The successful student will have a considerable hands-on modeling experience and will be able to develop optimization models with integer variables for various logistics problems and conduct analysis of results.

Forms of teaching and learning

One week of full day teaching and practical training in computer lab.

Topics covered: Reasons for using integer variables. Fixed charge, sequencing, scheduling, assignment, selection, covering, packing, partitioning, location, network design, location-routing models. Modelling logical conditions, economy of scale, capacity expansion. Linearization.


  • Form of assessment: Home assessment
  • Proportion: 100%
  • Duration: -
  • Grouping: -
  • Grading scale: Letter (A - F)
  • Support material: -


Course LOG904-115 Compendium.

Last updated from FS (Common Student System) Aug. 11, 2020 4:30:06 AM