Facts about the course

Study points:
2.5
Responsible department:
Faculty of Logistics
Course Leader:
Berit Irene Helgheim
Lecture Semester:
Autumn
Teaching language:
English
Duration:
½ year

LOG904-159 Network Flows in Logistics Systems (Autumn 2019)

About the course

The course focuses includes two parts. Part I will cover fundamental single-commodity flow models, generalized flows, and multi-commodity flow models along with numerous applications arising in supply chain networks. Part II will cover applications of network flow modeling in some contemporary supply chains including joint vehicle and drone deliveries, electric vehicle routing, and liquefied natural gas distribution planning.

Topics covered: Network flows, multi-commodity flows, generalized flows, column generation, linearization, facility location, drone scheduling, vehicle routing, vessel scheduling.

The course is connected to the following study programs

Recommended requirements

Linear programming, Graphs.

The student's learning outcomes after completing the course

Become proficient in modeling and optimizing complex logistics systems using network flows.

 

Forms of teaching and learning

Morning lectures. Exercises/case studies for self study. Friday group mini-project presentations.

Examination

Form of assessment: Home assessment with presentation

  • Proportion: 40%

  • Duration: -

  • Grouping: Group

  • Grading scale: Letter (A - F)

  • Support material: All printed and written supporting material

Form of assessment: Home assessment with presentation

  • Proportion: 60%

  • Duration: -

  • Grouping: Group

  • Grading scale: Letter (A - F)

  • Support material: All printed and written supporting material

Last updated from FS (Common Student System) Sep. 17, 2019 6:30:18 PM