Machine Learning Applications for Supply Chain Planning

Georgia Tech Professional Education

How long?

  • 4 days
  • online

Georgia Tech Professional Education

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Who should attend

This course is designed for experienced business professionals who perform (or want to perform) data analyses of any form in the area of supply chain, and who seek to get more from their supply chain data. This course will benefit learners who want additional tools and who want to become a change agent that tackles strategic supply chain goals.

About the course

As the third course in the Supply Chain Analytics Professional program, you’ll be introduced to the field of machine learning, an area where algorithms learn patterns from data to support proactive decision making, as it applies to supply chain management. You’ll learn to forecast future demand and use this information to evaluate inventory policies, while also learning the importance of and how to perform customer segmentation. The course will cover regression (trees), advanced time series forecasting, various clustering techniques (such as k-means), decision trees, random forests, neural nets, logistic regression, and Bayes classifiers. Using Power BI and Python, you’ll apply the techniques to sensor data of the fictional Cardboard Company’s paper production to build an anomaly detection model that supports proactive production maintenance planning.

What You Will Learn

  • Machine learning (ML) techniques
  • ML algorithms
  • How to apply ML in demand forecasting, sales and operation planning (S&OP), and inventory management
  • ML in production planning and predictive maintenance
  • Forecasting
  • Advanced analytics techniques using engine downtime predictive modeling example
  • Supply chain professionals collaborating in warehouse

How You Will Benefit

  • Understand the use of regression and clustering techniques in supply chain planning.
  • Apply ML in demand forecasting, S&OP, and inventory management.
  • Use Python and Power BI to build forecasting models.
  • Apply advanced analytics techniques to build planning tools that can leverage large and real-time data sets.
  • Understand and apply ML techniques specific to production planning and predictive maintenance.
  • Leverage the Microsoft Azure platform for collaborative planning, visualization, and data management.
  • Build an anomaly detection model that supports production maintenance planning.

Experts

Tim Brown

Mr. Brown has over 30 years of experience in supply chain management operations and services as an operations manager, consultant, educator, and executive recruiter. Tim was appointed as Managing Director in the Georgia Tech Supply Chain & Logistics Institute (SCL). SCL is a unit of Georgia ...

Machine Learning Applications for Supply Chain Planning at Georgia Tech Professional Education

From  $1,400

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Disclaimer

Coursalytics is an independent platform to find, compare, and book executive courses. Coursalytics is not endorsed by, sponsored by, or otherwise affiliated with any business school or university.

Full disclaimer.

Read more about Business Analytics

What will you learn from Business Analytics courses? First of all, you will learn about the profession of a business analyst, his duties, and what such a specialist does. You will get various soft skills, such as organizing teamwork, for example, acc...

Read more about Transportation and Logistics

Transportation and logistics courses mainly focus on global supply chain management and its key features, including air and ocean cargo administration, international documentation, end-to-end supply chain infrastructure, etc. Also, courses show how t...

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