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IEDA4410 Data Driven Supply Chain Management
Course Description
With the advancement of information technology and globalization, competition is no longer restrictedto local participants but on the performance of the entire supply chain. The ability to capture, store, aggregate and analyze data and then extract intelligence is now rapidly becoming a mandate for virtuallyall organizations. This course offers an introduction to the basic concepts and philosophies of supply chain management including inventory management, risk pooling, bullwhip effect, smart pricing and supply chain coordination. Moreover, real world companies’ cases are discussed to show how to leverage big data and analytics to extract new insights and gain competitive advantages from supply chains.
Textbook
David Simchi-Levi et al., Philip Kaminsky and Edith Simchi-Levi. Designing and Managing the Supply Chain: Concepts, Strategies, and Case Studies, , McGraw-Hill
Assessment and Grades
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Homework |
5% |
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Class participation |
15% |
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Project |
15% |
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Mid-term exam |
25% |
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Final Exam |
40% |
• Both midterm and final exams are closed book and closed notes 2
Course Outline
The schedule is subject to change at the instructor’s discretion. Students are advised to check the course website regularly for updated information.
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Topics |
Readings |
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1 |
Introduction |
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2 |
Inventory management |
Chapter 2 |
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3 |
Risk pooling strategies |
Chapter 2 Case 1: Sport Obermeyer (pp. 63-67) |
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4 |
Bullwhip effect controlling |
Chapter 5 Case 2: Barilla SpA(A) (pp. 143-152) |
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5 |
Outsourcing |
Case 3: Zara: Fast Fashion |
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6 |
Postponement |
Case 4: HP (pp. 331-337 & pp. 358-362) Case 5: Zara: An integrated store and online model |
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7 |
Smart pricing |
Chapter 13 Case 6: Allegiant Airline |
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8 |
Supply contracts and risk sharing |
Chapter 4 |
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9 |
Sharing Economy |
Case 7: Uber |
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10 |
Supply Chain Design Strategies |
Case 8: Apple Global Supply Chain |