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:
Phases of humanitarian logistics

Lecture 3:
Coordination
Information management
Knowledge Management

Lecture 4: 
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 5:
Outsourcing humanitarian logistics to commercial logistics providers

Lecture 6:
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

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, full attendance is required.

Attendance is mandatory during the in-class case study.

Lectures 

Individual Assignment

Case Studies

Group Work 

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 60 % 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%