Course description
Supply Chain Analytics
Supply chains are complex systems involving multiple businesses and organizations with different goals and objectives. Many different analytical methods and techniques are used by researchers and practitioners alike to better design and manage their supply chains. This business and management course introduces the primary methods and tools that you will encounter in your study and practice of supply chains. We focus on the application of these methods, not necessarily the theoretical underpinnings.
We will begin with an overview of introductory probability and decision analysis to ensure that students understand how uncertainty can be modeled. Next, we will move into basic statistics and regression. Finally, we will introduce optimization modeling from unconstrained to linear, non-linear, and mixed integer linear programming.
This is a hands-on course. Students will use spreadsheets extensively to apply these techniques and approaches in case studies drawn from actual supply chains.
SC0x is different from our other courses as it is self-paced and has a scheduled final exam. All material is made available during the second week, allowing learners to begin with any topic at their own convenience.
Upcoming start dates
Suitability - Who should attend?
Prerequisites
- Secondary school algebra and basic mathematics concepts
- Passing knowledge of statistics and probability
Outcome / Qualification etc.
What you'll learn
- Basic analytical methods
- How to apply basic probability models
- Statistics in supply chains
- Formulating and solving optimization models
Course delivery details
This course is offered through Massachusetts Institute of Technology, a partner institute of EdX.
8-12 hours per week
Expenses
- Verified Track -$199
- Audit Track - Free