Supply Chain Analytics - Massachusetts Institute of Technology

edX

Course

Online

Free

Description

  • Type

    Course

  • Methodology

    Online

  • Start date

    Different dates available

Master and apply the core methodologies used in supply chain analysis and modeling, including statistics, regression, optimization and probability.With this course you earn while you learn, you gain recognized qualifications, job specific skills and knowledge and this helps you stand out in the job market.

Facilities

Location

Start date

Online

Start date

Different dates availableEnrolment now open

About this course

Secondary school algebra and basic mathematics concepts

Passing knowledge of statistics and probability

Questions & Answers

Add your question

Our advisors and other users will be able to reply to you

Who would you like to address this question to?

Fill in your details to get a reply

We will only publish your name and question

Reviews

This centre's achievements

2017

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 8 years

Subjects

  • Supply
  • Supply Chain
  • Management
  • Business
  • Chain Analytics

Course programme

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.

Additional information

Dr. Chris Caplice Dr. Caplice has been teaching logistics and supply chain management at MIT for over a decade. He is also responsible for the planning and management of the research, education, and corporate outreach programs for the MIT Center for Transportation & Logistics as well as MIT’s Global SCALE Network. He is also the Chief Scientist for Chainalytics, a leading analytical supply chain consulting firm. He received a Ph.D. from MIT in 1996 in Transportation and Logistics Systems, a Master of Science in Civil Engineering from the University of Texas at Austin, and a Bachelor of Science in Civil Engineering from the Virginia Military Institute (VMI).

Supply Chain Analytics - Massachusetts Institute of Technology

Free