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Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability - part of the MITx Supply Chain Management MicroMasters Credential.
Syllabus
- Model uncertainty in supply chains using probability and statistical analysis
- Conduct hypothesis testing and regression analysis to support data-driven decisions
- Formulate and solve mathematical optimization models for supply chain planning and network design
- Use simulation techniques to evaluate policies, test scenarios, and assess decisions under uncertainty
- Apply algorithmic and approximation methods to solve complex problems when exact solutions are computationally infeasible
Taught by
Chris Caplice