Syllabus
Registration via LPIS
| Day | Date | Time | Room |
|---|---|---|---|
| Thursday | 10/03/19 | 01:30 PM - 04:00 PM | TC.5.28 |
| Thursday | 10/10/19 | 01:30 PM - 05:30 PM | TC.3.09 |
| Thursday | 10/17/19 | 08:00 AM - 02:00 PM | TC.3.10 |
| Thursday | 10/24/19 | 01:30 PM - 04:00 PM | TC.5.28 |
| Thursday | 10/31/19 | 01:30 PM - 04:00 PM | TC.5.28 |
| Wednesday | 11/06/19 | 01:30 PM - 04:00 PM | TC.4.16 |
| Friday | 11/15/19 | 02:30 PM - 05:00 PM | TC.3.01 |
Course IV „Humanitarian Logistics“ investigates the special requirements of logistics in disasters like earthquakes. Additionally, appropriate methods for decision support are presented and discussed. Cooperation and coordination form a core concern for decision makers in disaster management. Therefore, the EU decision process for implementing humanitarian missions will be described and the role of the logistics cluster will be analyzed.
Lecture 1:
Introduction to humanitarian logistics
Lecture 2:
Comparison between military logistics and humanitarian logistics
Decision process of the European Union for the start of a humanitarian mission
Introduction to the planning method for the setup of a humanitarian supply chain
Lecture 3:
Phases of humanitarian logistics
Lecture 4:
Coordination
Information management
Knowledge Management
Lecture 5:
Introduction of the Logistics Cluster for the coordination of humanitarian logistics activities
In-class game based on a current situation and use of the instruments of the information portal of the logistics cluster
Lecture 6:
Outsourcing humanitarian logistics to commercial logistics providers
After successfully completing this course, students should be able to
understand the characteristics and special demands of disaster relief logistics
know the main stakeholders and their role in disaster relief
critically assess the applicability of logistics concepts from the for-profit sector
know the importance of information management and ways to facilitate its implementation
In order to pass the class, 80 % attendance is required.
Attendance is mandatory during the in-class case study.
Case Study Presentation and Summary: 20 %
In-Class Case Study 10 %
Individual Assignment 20 %
Exam 50 %
In order to pass the class, you need attend at least 80 % of all classes. If you fulfill this criterion, the following grading scale will be applied:
- Excellent (1): 87.5% - 100.0%
- Good (2): 75.0% - <87.5%
- Satisfactory (3): 62.5% - <75.0%
- Sufficient (4): 50.0% - <62.5%
- Fail (5): <50.0%
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