TAOP18 · 6 credits · Advanced level (A1F) · Matematik, Tillämpad matematik, Industriell ekonomi

Supply Chain Optimization

Active · next start HT 2026

100%

passed the latest regular sitting

PRA1 · 28 Jan 2026 · 11 students

100%

passed the regular sittings, all sittings over the last 5 years

PRA1 · 65 students

This module only reports passing results, so the pass rate does not show how many did not pass.

Part of 7 programmes

Hand-in or lab

PRA1 Oral and written presentation of case studies

Main rounds

100% passed · 65 students

28 Jan 2026100%11

14 Jan 2024100%14
4 Jan 2023100%15
29 Dec 2021100%25

Later rounds

No sittings with at least 5 students.

Get 4 or 5: 74% (65 students)

Show small sittings (7)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

22 May 2026100%1
2 Feb 2026100%4
27 Jan 2025100%1
14 Jan 2025100%3
19 Apr 2024100%2
26 Jun 2023100%1
20 Jan 2023100%4

About the course

Aim

The course aims to give the students an ability to model optimization problems, and an insight in how mathematical theory can be used to formulate and solve practical problems, with emphasis on applications in supply chain, distribution and transportation planning. The course also aims to give a deeper knowledge about combinatorial optimization, i.e. optimization problems with an underlying graph structure.

Content

Supply chain optimization problems, Sequencing and scheduling problems in production planning, Classical machine scheduling problems, Capacitated lot-sizing problem, Transportation and routing problems, Local search/tabu search, Column generation, Lagrangian relaxation, advanced use of optimization modelling tools.

Examiner: Roghayeh Hajizadeh
Scheduled hours: 44 h
Main field of study: Matematik, Tillämpad matematik, Industriell ekonomi

Syllabus on Studieinfo ↗