This is a capstone course that combines aspects of Purchasing, Logistics, Production & Supply Chain Management. Ideally, participants have attended a number of lectures in these fields.
Please send all the application material to our office (firstname.lastname@example.org)
An overview of the courses that you have attended in the area of Value Chain Management including a grade sheet (Notenübersicht).
“Drop-out” declaration: The game is designed for groups of 4 students. We will not accept drop-outs, i.e. if you apply for the course and you are admitted, you have to complete the course. Else, the learning experience of all others in your group will be jeopardized. Also, we pay a fee of approximately € 50 per student; if you drop out, the money is wasted. Therefore, we request the following confirmation in writing: “I am aware that if I am admitted to the course and I choose to drop out, I will have to personally cover the cost of the game (approximately € 50). Also, I acknowledge that in case of dropping out, I will not be admitted to this specific course at any time in future.”
Attendance is mandatory, since all the players are required for successful completion of the simulation.
Dates summer term 2022
Application Deadline: 29.04.22
Introduction WS: 02.05.22, 16:00-18:00 (Zoom)
Start Simulation: 09.05.22
Intermediate Workshop: 25.05.22, 16:00-18:00
Paper Deadline: 18.07.22
Final Workshop: 20.07, 16:00-18:00
For updates & changes: wuestudy
The components of a value chain are traditionally seen and administered as separate entities: the operations manager tries to optimize processes in production and warehousing, the purchasing manager wants to minimize purchasing prices, the sales manager’s efforts are aimed at maximizing revenue, while, hopefully, a supply chain manager tries to coordinate this complex array of tasks and incentives.
However, current practices very often ignore how the decisions taken by these different managers may inadvertently affect the overall performance of a different “area” – value chains are complex systems, where changing the value of one variable affects the functioning of the whole system.
The main objective of this seminar is to familiarize participants with the application of quantitative methods in a business (simulation) environment. Participants can choose their approach freely, and in the end, they should be able to apply quantitative methods to practical settings, anticipate the consequences of decisions and understand how coordination can benefit a company’s performance.
Thanks to the game “The Fresh Connection”, they will be assigned to the role of either purchasing, operations, supply chain or sales manager; as objective, they will be requested to improve the performance (measured by Return on Investment) of “The Fresh Connection”, a producer of fresh fruit juice, through a series of decisions.
“The Fresh Connection” is a business simulation, a powerful and innovative learning method applied by many business schools and companies around the world, aimed at replicating a real business environment in a classroom setting. You can obtain further information at: www.thefreshconnection.eu .
Simone Buttler (email@example.com)
Dates summer term 2022
Kick-off workshop: 03.05.2022, 9.00-10:00 (via Zoom)
Intermediate Workshop: 14.06.2022, 9.00-11.00 (Room 410)
Final Workshop: 19.07.2022, 8.00 - 12:00 (Room 410)
Deadline paper submission: 18.07.2022
For changes and updates: wuestudy
Please note that students have to attend the "Scientific Writing Seminar-Master" prior to submitting their final report.
Syllabus and Course Material
The syllabus for this course and the topics/papers are available on WueCampus
Quantitative planning approaches are particularly valuable for designing logistics systems and supply chains. They support decision makers in taking important strategic, tactical, and operational decisions by providing well-founded and relevant information. Many of these decisions have significant impact on the competitiveness of companies because they considerably influence today’s as well as tomorrow’s costs and revenues. The adoption of quantitative planning methods has been strongly supported by the development of information and communication systems: Advanced tools are available at low costs, versatile methods to model and solve planning problems have been integrated in standard software, the user friendliness has improved, and last but not least: the access to necessary data has substantially progressed (i.e. through ERP systems).
The main objective of this seminar is to familiarize participants with diverse quantitative planning problems and potential solutions. Planning procedures are applied to solve real problems in companies. Participants in this seminar learn about actual planning problems in Logistics and Supply Chain Management; they analyze and understand how companies address these problems.
Please download the syllabus for detailed information.
It is mandatory to participate in the chairs’ scientific writing seminar
Prof. Dr. Richard Pibernik (firstname.lastname@example.org)
This seminar is required for all students who would like to write their thesis or seminar paper at our chair.
Please register with your first and last name, your matriculation number and the seminar name "Seminar: Scientific Writing" via e-mail to our office (email@example.com).
11.02.22, 10:00-12:00, via Zoom (click here)
22.04.22, 10:00-12:00, via Zoom (click here)
For updates & changes: wuestudy
It is mandatory to participate in the chairs’ scientific writing seminar.
This is the seminar in the track “Operations Management” for students enrolled in the Master’s program "Information Systems". Students with basic programming skills in Python or R from other Master’s programs are also welcome to join this seminar.
By arrangement (kick-off and final presentation) and on demand (e.g., individual feedback or problem-solving meetings).
The aim of this seminar is to familiarize participants with various approaches of data-driven operations management. Please download the syllabus for detailed information.
Felix Schmidt (firstname.lastname@example.org)