Distribution Logistics (B-KUL-H00N3A)
Aims
The student should be able to build a mathematical model with respect to distribution logistics and to develop a suitable and adequate solution algorithm. The student should also be able to discuss the drawbacks of the model and what the implications are if implemented.
Previous knowledge
Good knowledge of operations research is required: linear programming, integer programming, network algorithms, dynamic programming, heuristics.
Course material
Articles and literature
Slides, transparencies, courseware
Toledo / e-platform
Is also included in other courses
-
Master in de ingenieurswetenschappen: bouwkunde
120 ects.
- Master in de ingenieurswetenschappen: verkeer, logistiek en intelligente transportsystemen (Option Courses: Logistics and Transport) 120 ects.

- Master in de ingenieurswetenschappen: verkeer, logistiek en intelligente transportsystemen, programma voor industrieel ingenieurs of master industriële wetenschappen (aanverwante richting) (Logistics and Transport) 120 ects.

Activities
3.0 ects. Distribution Logistics (B-KUL-H00N3a)
Content
The course discusses the issue of distribution logistics. Following topics are included:
- introduction: distribution within supply chain management
- shortest path, vehicle routing problem,
- reverse logistics: vehicle routing, impact on the supply chain.
- logistics in harbours
- logistics in airports
General comments are given. Some models, solution methods, and cases are discussed during the lectures.
Aims
The student should be able to build a mathematical model with respect to distribution logistics and to develop a suitable and adequate solution algorithm. The student should also be able to discuss the drawbacks of the model and what the implications are if implemented.
Course material
Copies of transparancies, copies of articles.
