Supply Chain Analytics
Registration Link: REGISTER HERE
Start Date: November 2, 2016 (8 Weeks Long)
Workload: 8-12 Hours Per Week
Instructor: Chris Caplice
Credentials: Dr. Caplice teaches logistics and supply management at MIT, ranked #1 (graduate) and #2 (undergraduate) in this field. He oversees the MIT Freight Lab, which researches ways to improve the design and management of freight transportation. He also manages the MIT Center for Transportation and Logistics and MIT’s Global SCALE Network. Caplice, who holds a Ph.D. from the University of Texas, also serves as the chief scientist for Chainalytics, a supply chain consulting firm.
Graded: Students who complete all course requirements can purchase a verified certificate for $150.
Description: Any company can get a product from point A to point B. The trick is doing it cheaper and faster, as customer expectations rise and resources stretch thin. That’s why analytics have become increasingly popular in operations. Blessed with a surplus of raw data, supply chain professionals can use this data to build new models to increase efficiencies across their distribution networks. In this course, students will be exposed to the fundamentals of supply chain analysis, including hands-on experience with uncertainty, statistical regression, optimization (linear, non-linear and mixed) and probability).
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Additional Notes: This course is part of MIT’s MicroMaster’s program in supply chain management. To learn more about these courses, click here.