Course - Models and Approaches for Logistics 4.0 - PK8001
Models and Approaches for Logistics 4.0
About
About the course
Course content
The course aims to enhance participants' knowledge and understanding of the state-of-art within industry 4.0 and innovative logistics. Logistics 4.0 is here defined as the logistical system that enables the sustainable satisfaction of individualized customer demands without an increase in costs and supports this development in industry and trade using digital technologies. Key topics include introduction to industry 4.0, introduction to logistics and material handling, models and approaches for using digital technologies in logistics, models and approaches for design human-centered material handling and logistics solutions.
Learning outcome
Knowledge: The student should have an overview of models and tools to analyse an industrial value chain regarding sustainability.
Skills: The objective of the course is to provide PhD students with efficient tools that enable them to handle and analyse complex systems with the purpose of designing and implementing such systems.
General competence: Students will gain the background needed to conduct Research in a variety of domains.
Learning methods and activities
Lectures. Self study. Writing of scientific article. To pass the course, a score of at least 70 percent is required. The course is given every second year, the next time in spring 2026.
If there are less than 3 registered students, the course coordinator will decide whether the course will take place.
Further on evaluation
The final grading includes a paper counting 60% and an oral exam counting 40%.
The total assessment is pass or fail, where pass requires a total score of at least 70 %.
All assessments must be passed before the overall result can be calculated in the course.
For a re-take of an examination, all assessments during the course that counts in the final grade must be re-taken.
Recommended previous knowledge
TPK4135 Logistics and Production Management and TPK4160 Supply Chain Management.
Required previous knowledge
All students taking this course must be enrolled in a ph.d program at NTNU or a different university.
Course materials
Articles and chapters from books. Lecturing material.
Subject areas
- Production Management
- Production Engineering/Productivity and Logistics
- Engineering
- Technological subjects