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Massachusetts Institute of Technology

Supply Chain Analytics

Massachusetts Institute of Technology via edX

Overview

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 .

Please note : edX Inc. has recently entered into an agreement to transfer the edX platform to 2U, Inc., which will continue to run the platform thereafter. The sale will not affect your course enrollment, course fees or change your course experience for this offering. It is possible that the closing of the sale and the transfer of the edX platform may be effectuated sometime in the Fall while this course is running. Please be aware that there could be changes to the edX platform Privacy Policy or Terms of Service after the closing of the sale. However, 2U has committed to preserving robust privacy of individual data for all learners who use the platform. For more information see the edX Help Center.

Taught by

Dr. Chris Caplice

Reviews

3.0 rating, based on 3 Class Central reviews

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  • Anonymous

    Anonymous is taking this course right now.

    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.
  • Arvind Ramamurthy completed this course.

  • Hernan David Solano Parra completed this course.

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