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Massachusetts Institute of Technology

Supply Chain Analytics

Massachusetts Institute of Technology via edX


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.

Taught by

Dr. Chris Caplice


3.0 rating, based on 3 Class Central reviews

4.6 rating at edX based on 141 ratings

Start your review of Supply Chain Analytics

  • Anonymous
    There are some reasonable insights into how marketers think, but do not be misled into believing that you'll achieve a reasonable understanding of analytics. The description and explanation of factor analysis, for example, is appallingly bad.

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