Same as for the Master of Science in Logistics programme.

Students who do not have a reasonable 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. Students who have LOG501 or equivalent can not take LOG707 as the overlap is too large.

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, theory of constraints. 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 distribution, 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.

The course will discuss:

- Distribution models for the transportation problem and transhipment problem. An introduction to vehicle routing and arc - routing problems.
- Different principles for dealing with inventory management and models for known demands, including discounts and forecasting, as well as safety stocks, multiple items models, models with restriction on space and capital. Decision rules for lot sizing.

- Simple use of AMPL
- Issues in production such as production planning, control of material requirement planning (MRP), JIT and OPT
- Special issues associated with production control are dealt with in aggregate production management where operational analytical methods and suitable tools are used to solve problems.