Syllabus
Registration via LPIS
Research Seminar in Main Subject II - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject III - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject IV - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject V - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject VI - Transport and Logistics Management /Supply Chain Management
Research Seminar in Secondary Subject - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject II - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject III - Transport and Logistics Management /Supply Chain Management
Research Seminar in Main Subject IV - Transport and Logistics Management /Supply Chain Management
Dissertation-relevant theories - Transport and Logistics Management /Supply Chain Management
Research Seminar - Transport and Logistics Management /Supply Chain Management
Research Seminar - Transport and Logistics Management /Supply Chain Management
Research Seminar - Participating in scientific discourse I
Research Seminar - Participating in scientific discourse II
Day | Date | Time | Room |
---|---|---|---|
Wednesday | 03/01/23 | 10:00 AM - 12:15 PM | TC.3.08 |
Wednesday | 03/15/23 | 09:00 AM - 11:00 AM | D5.1.001 |
Wednesday | 03/22/23 | 09:00 AM - 03:00 PM | D4.0.047 |
Wednesday | 03/29/23 | 09:00 AM - 11:00 AM | TC.3.03 |
Wednesday | 04/12/23 | 09:00 AM - 11:00 AM | TC.5.18 |
Wednesday | 04/19/23 | 09:00 AM - 12:00 PM | D4.0.047 |
In this course advanced optimization methods and tools are applied to problems in the area of supply chain management. The course starts with an overview of classical combinatorial optimization problems. The course also covers the theory and application of solution methods. Concepts of exact techniques (e.g. branch and bound, branch and cut), neighborhood search and metaheuristic solution techniques (e.g. adaptive large neighborhood search, tabu search, variable neighborhood search) are discussed and implemented to solve case studies. Furthermore, hands-on exercises with standard optimization tools such as Python/PuLP and cplex are conducted.
Learning outcomes
After successful completion of the course, students should be able to
- Be familiar with the most relevant optimization models in the area of supply chain management
- Model and solve optimization problems in supply chain management
- Apply heuristic and exact solution techniques
- Analyze and solve real-world problems in selected industries and businesses
- case study projects development and documentation (90 points)
- case study project presentations (10 points)
Please log in with your WU account to use all functionalities of read!t. For off-campus access to our licensed electronic resources, remember to activate your VPN connection connection. In case you encounter any technical problems or have questions regarding read!t, please feel free to contact the library at readinglists@wu.ac.at.
Back