Industrial Engineering and Management Ba (C), Logistics, 6 credits

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

After completing the course students will be able to:
• Describe the history of logistics as well as have an understanding of its development,
• Describe different types of supply chains and startegies 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 decsion making in logistics
• Explaining the complexity of the supply chain as well as its challenges, risks and terminology.

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 BA (A), 30 credits. Matematics BA (AB) 24 credits, inkluding Mathematical Statistics, 6 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 and organization can be solved. The group consists of three to four students

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

L107: Laboratory, written report, 1.5 Credits
Grade scale: Fail (U) or Pass (G)

P107: Project, written report and oral presentation, 1.5 Credits
Grade scale: Fail (U) or Pass (G)

T107: Written exam, 3 Credits
Grade scale: Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.

1.5 credits, P107: Project, written report and oral presentation
Grades: Pass or Fail

1.5 credits, L107: Laboratory, written report
Grades: Pass or Fail

3.0 credits, T107: Written exam
Grades: A, B, C, D, E, Fx. Fx and F is fail.

Grading criteria for the subject can be found at 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.

Transitional rules

Aktuella delar av examination kan vara klart från tidigare version(er) av kursplanen enligt följande:
P107, 1.5 hp motsvaras av P101, 1.5 hp,
L107, 1.5 hp motsvaras av P201, 1.5 hp,
T107, 3.0 hp motsvaras av T101, 3.0 hp.

Grading system

Seven-grade scale, A, B, C, D, E, Fx and F. Fx and F represent fail levels.