Same as for the MSc programme in Logistics. Students who do not have a fair amount of logistics modeling or operations research in their background are advised to take this course. Students with more quantitative experience, wishing to follow this up, should instead consider LOG706 Mathematical Modeling in Logistics.
The course overlaps with LOG501 Styringsmodeller i logistikk and will not give extra credits in combination with that course.
4-hour individual written examination. Students are required to write one or more essays on assigned topics. These shall be submitted during the final examination and each of them will count for 10% of the final grade.
After having completed the course, the candidate is supposed to:
- Be familiar with basic models for inventory management and production planning, including the EOQ (Economic Order Quantity) model
- Understand simple linear models for logistic problems
- Be familiar with Material Requirements Planning logic
- Have basic knowledge about purchasing processes
- Be familiar with basic forecasting methods, such as moving average and exponential smoothing
- Know the most important principles behind the Just In Time (JIT) philosophy
The course will extend the core topics normally treated in an introductory course in logistics, such as elementary inventory theory, material requirement planning and just in time production. Models for managing the individual parts in the value chain will be a major part of the course. Special emphasis will be placed on problems in inventory and production, along with some prognosis. In addition, quantitative models will be presented for the aforementioned areas and used explicitly in formulating solutions to logistical problems. Students not familiar with the basic concepts will benefit from reading an elementary book in logistics before the course starts.
J. R. Tony Arnold, S. N. Chapman, L. M. Clive. Introduction to Materials Management. 6th Ed. Pearson Prentice Hall, 2008.
