EGRMGMT 563
Supply Chain Management
Pranab Majumder
Description from DukeHub
The objectives of this course are to develop conceptual and modeling skills for the student and provide practical problem-solving tools, applicable to the design and analysis of supply chains. Students will also identify how the existence of multiple (distinct) decision makers in the supply chain can create misaligned incentives that harm supply chain performance and then learn how to mitigate this problem. Examples will include technology supply chains, and supply chains for innovative products. The course will balance modeling/quantitative problem solving with conceptual frameworks. Prerequisite: Enrollment in the Master of Engineering Management Program or permission of instructor.
Skills
- data and statisticsdescription: "modeling" and 2 more
AI-resilient: 1 of 5
- No: Physical, lab or field work
- No: Live work with people
- Yes: Judgment someone is accountable for · "decision"
- No: A craft you practice with your hands or body
- No: Small, in-person format
The checks lean on Microsoft Research, Working with AI (2025), which found generative AI applies least to physical work and hands-on work with people. A signal, not a promise. How the score works
More in EGRMGMT
- Engineering Management Seminar EGRMGMT 501
- Residency 3 - Conclusion and Graduation EGRMGMT 506
- Cohort 2 EGRMGMT 510-02
- Cohort 4 EGRMGMT 510-04
- Product Management in High-Tech Companies EGRMGMT 512
- Negotiations and Consultative Selling in Technology EGRMGMT 514