Industrial Engineering and Management BA (C), Logistics, 7.5 credits
Please note that the literature can be changed/revised until:
• June 1 for a course that starts in the autumn semester
• November 15 for a course that starts in the spring semester
• April 1 for a course that starts in the summer
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Syllabus:
Industriell organisation och ekonomi GR (C), Logistik, 7.5 hp
Industrial Engineering and Management BA (C), Logistics, 7.5 credits
General data
- Code:IG057G
- Subject/Main field:Industrial Engineering and Management
- Cycle:First cycle
- Progression:(C)
- Credits:7.5
- Progressive specialization:G2F - First cycle, has at least 60 credits in first-cycle course/s as entry requirements
- Education area:Technology 100%
- Answerable department:Communication, Quality Management, and Information Systems
- Approved:2025-12-03
- Version valid from:2026-08-31
Aim
The purpose of this course is to gain an insight into various aspects of logistics rooted in logistics history with a focus on modern intermodal logistics, supply chains, The Toyota Way, and different modelling methods within logistics and supply chains.
Course objectives
Upon completion of the course the student should be able to:
- Describe the history of logistics as well as have an understanding of its development,
- Describe different types of supply chains and strategies to handle these,
- Plan intermodal logistics solutions using network models and optimization,
- Apply mathematical models used in inventory management and forecasting,
- Apply production logistics concepts and processes based on the Toyota Way,
- Apply efficency calculations for decision making in logistics
- Explaining the complexity of the supply chain as well as its challenges, risks and terminology.
- Formulate a scientific text within the area of logistics
Content
The subjects in the course are mainly:
- The history of logistics
- Concepts in Supply Chain Management
- Production logistics with focus on the Toyota Way
- Reverse logistics
- Value stream mapping
- Inventory management and inventory modelling
- Network models and optimization of decision problems in logistics
Entry requirements
Industrial Engineering and Management MA (A), 18 credits. Mathematics BA (AB), 24 credits.
Selection rules and procedures
The selection process is in accordance with the Higher Education Ordinance and the local order of admission.
Teaching form
Teaching consists of lectures, seminars and project work.
The course includes lectures with theoretical issues raised based on real examples in transport and logistics.
Project: A study based on a theoretical or practical problem. Students form an opinion about the current challenges in logistics by searching the relevant literature, such as scientific papers and reports, after consultation with the course coordinator. As an alternative a practical problem at an organization can be solved.
Laboratory work: Mathematical models. This is mostly done with the help of network models and optimization methods in the computer lab. Statistical models for inventory management and production logistics are included. This part performs in groups of maximum two persons.
Examination form
L108: Laboration with written report, 3 Credits
Grade scale: Two-grade scale
P107: Written report with oral presentation, 1.5 Credits
Grade scale: Two-grade scale
T108: Written exam, 3 Credits
Grade scale: Seven-grade scale, A-F o Fx
Link to grading criteria: https://www.miun.se/gradingcriteria.
The examiner has the right to offer alternative examination arrangements to students who have been granted the right to special support by Mid Sweden University’s disabilities adviser.
Examination restrictions
Students are entitled to three examination opportunities within one year according to the examination format given in this version of the course syllabus. After the one-year period, the examination format given in the most recent version of the course syllabus applies.
Grading system
Seven-grade scale, A-F o Fx
Other information
This course cannot be included in the same degree as IG018G.
Course reading
Required literature
Author: L.Schrage
Title: Optimization modelling with Lingo
Edition: Senaste
Journal: Lindo systems inc
Author: M Rother and J Shook
Title: Learning to see
Edition: Senaste
Author: T Skjott Larsen et al.
Title: Managing the global supply chain
Edition: Senaste
Journal: CBS press
In addition to the course literature, additional materials will be distributed through Canvas, and the students are expected to search for own litterature to solve their project tasks.