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.
This course is part of the MITx MicroMaster’s Credential in Supply Chain Management that is specifically designed to teach the critical skills needed to be successful in this exciting field. In order to qualify for the MicroMaster’s Credential you will need to earn a Verified Certificate in each of the five courses as well as pass a Capstone Exam. When you sign up for a Supply Chain Analytics Verified Certificate you will also be granted access to supplemental content such as additional practice problems and complementary videos.
MITx requires individuals who enroll in its courses on edX to abide by the terms of the edX honor code. MITx will take appropriate corrective action in response to violations of the edX honor code, which may include dismissal from the MITx course; revocation of any certificates received for the MITx course; or other remedies as circumstances warrant. No refunds will be issued in the case of corrective action for such violations.
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