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Industrial Excellence - M

Course code
SCM601
Course type
MSc Course
Weekly Hours
2,5
ECTS
5.0
Term
FS 2024
Language
Englisch
Lecturers
Prof. Dr. Arnd Huchzermeier
Please note that exchange students obtain a higher number of credits in the BSc-program at WHU than listed here. For further information please contact directly the International Relations Office.

MANAGING THE RESULTS OF THE FIRM1. Strategy Formation, Cascading, Execution & Alignment2. Fair Process Leadership

MANAGING THE RESPONSIVENESS OF THE FIRM
3. Decision Trees and Monte Carlo Simulation with @Risk
4. SupplyChain Coordination and Collaboration
5. Supply Options and Portfolios of Contracts
6.Case Study I: Lufthansa Cargo AG – Capacity Reservation and Dynamic Pricing
7. Hedging Retail Promotions
8.Case Study II: Canyon Bicycles - Judgmental Demand Forecasting for Direct Sales

MANAGING THE RESILIENCE OF THE FIRM
9. Hedging Supply Uncertainty
10.Case Study III: The Fendt VarioTakt - Revolutionizing Mixed-Model Assembly Line Production
11. Return Chain Management
12.Data Analytics Online Simulation Game: Strategic Decision Making & Debrief

MANAGING THE RISK OF THE FIRM
11. The Benefit of Limited Flexibility
12. Global Supply Network Management
15.Case Study IV: Applichem

Date Time
Wednesday, 06.03.2024 08:00 - 11:15
Friday, 08.03.2024 11:30 - 15:15
Wednesday, 13.03.2024 15:30 - 18:45
Friday, 15.03.2024 08:00 - 11:15
Wednesday, 20.03.2024 15:30 - 18:45
Friday, 22.03.2024 08:00 - 11:15
Monday, 25.03.2024 08:00 - 11:15
Thursday, 28.03.2024 08:00 - 09:30
Thursday, 25.04.2024 15:00 - 16:00
Course package including case studies Optional:Cachon, G.P., & Terwiesch, C. (2019): Operations Management, Second Edition, McGraw HillChopra, S., & Meindl, P. (2016):Supply Chain Management: Strategy, Planning and Operations. PearsonLund, S., Manyika, J., Woetzel, J., Barriball, E., Krishnan, M., Alicke, K., Birshan, M., George, K., Smit, S., Swan, D., & Hutzler, K. (2020): Risk, resilience, and rebalancing in global value chains.McKinsey Global Institute
Lectures, case discussions and online simulation game.
Grades are based on five group case assignments (30%), a Data Analytics Simulation Game (10%), Class Participation (10%) and a written 1h final examination (50%). The groups can have 4-5 members; no exceptions permitted. Each team should include at least one exchange student; there is a strict limit of four German students per team.
An introductory course to Production and Service Operations Management as well as Statistics is recommended, but not required.
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