In this course, the essence of supply chain management in success of a business is emphasised, and it aims to provide the students a good understanding of developing and managing supply chains in line with the needs of the business.

The course starts with basics of supply chain management, giving first-hand experience of inter-relational behaviour in supply chains. Then prerequisites and goals to configure and analyse supply chains will be discussed, including supply chain strategy, planning and controlling. The course concludes with recent supply chain trends and best practices for supply chain management in turbulent times.

To ensure that up to date business insights are given, current trends and innovations are discussed with the students.

After the completion of this course, the students will:

• be able to comprehend the key concepts of supply chain management in practical world and their correlation with business strategy and operations of companies
• learn to identify the competitive advantages that can be derived from superior supply chain management
• be well versed with supply chain management best practices and obtain an acumen to plan, design and configure an efficient supply chain network

• Lectures
• Case studies
• Discussions
• Business simulation

The course grade is determined by evaluating the student’s performance on the following activities:

• Class activities: 10%
• Assignments and Case study: 50%
• Written exam: 40%

A positive grade (>40%) in the final written exam is necessary to complete this course.

For students of SBWL Transportwirtschaft & Logistik:

• Kurs IV im Bachelorstudium
• Kurs III-VI im Diplomstudium

For incoming students:

• basic understanding of transportation and logistics management
• basic understanding of finance and performance management

For incoming students knowledge in the following fields would be a good basis:

• basic understanding of transportation and logistics management
• basic understanding of finance and performance management

Also knowledge of MS excel is required in order to cope up with linear optimization modelling.

• Before and after class
• By appointment