Supply Chain Analytics

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Supply Chain Analytics

Delve into the course contents and find out about the faculty members.

This module will take place from Nov. 11-12, 2021. Course fee: €950 (+7% VAT). 

In order to book the course with alumni conditions, please get in touch with Manon Pfeifer directly.

Course Description

Contents:
Supply chain management is among the areas in which analytical methods have a particularly high impact. In essence, supply chain management is about delivering on the promises made to the customer – and about allowing these promises to be made in the first place. As such, it is paramount to the creation of any business value. Carefully designed and well executed supply chain operations provide an important source of competitive advantage. Notable complexities arise from manifold interdependencies between supply chain processes, resulting in intricate trade-offs, and from the interplay between different supply chain members, each having their own objectives. Supply chain analytics provides powerful levers to address these challenges, resulting in better decisions and, ultimately, maximized performance.
 

Course Objectives:

  • In this course, you will learn about the linkages between supply chain management and firm performance and get to know major levers for managing supply chain processes both upstream and downstream.
  • You will recognize key supply chain challenges and understand how supply chain analytics can help tackle them.
  • You will become familiar with core methods of supply chain analytics and modeling and learn how to apply them.


Course Composition and Teaching Methods:
The course uses a mix of lectures and case discussions to introduce the fundamentals of supply chain management and to highlight the potential of modern analytics approaches. It also uses simulation games and workshops that allow the participants to explore and apply the concepts discussed in class. Guest lectures highlight specific examples from the business world.

Optional tutorials included:

  • Data Science With R
  • Data Science With Python

Lecturers

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Prof. Dr. Christoph Bode

Prof. Dr. Christoph Bode is a full professor at the Business School of the University of Mannheim and holds the Endowed Chair of Procurement. He obtained his Ph.D. from WHU – Otto Beisheim School of Management (Germany) and his Habilitation from the Swiss Federal Institute of Technology (ETH) Zurich (Switzerland). He holds a master's degree in business engineering (Dipl.-Wi.-Ing.) from the University of Karlsruhe (TH) (Germany) and master's degrees in industrial engineering (ingénieur génie industriel) and in management (master de recherche) from the Grenoble Institute of Technology (INPG) (France).

Prior to joining the faculty in Mannheim, he served at the Department of Management and at the Center for Economic Research (CentER) at Tilburg University (The Netherlands) and at the Department of Management, Technology, and Economics (D-MTEC) at ETH Zurich. He is still affiliated with these institutions as an extramural research fellow.

Teaching and research interests lie in the areas of procurement, supply chain, logistics, and operations management with a special focus on risk and disruptions, interfirm relationships, innovation and entrepreneurship, sustainability, and strategies and performance. His research in these areas has been published in multi-disciplinary management journals as well as in leading operations management journals.

MANNHEIM BUSINESS SCHOOL (MBS)

Located in the heart of the German and European economy, Mannheim Business School (MBS), the umbrella organization for management education at the University of Mannheim, is considered to be one of the leading institutions of its kind in Germany and is continuously ranked as Germany’s #1.

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