Supply Chain Analytics

Participants will develop a better understanding of how the analytics functions they perform (see Course Outline below) help support supply chain business partners and initiatives. With a focus on practical application, you will leave with the code (R programming) you used to solve your own supply chain problems.

Learning Outcomes:

  • Apply advanced data methods to supply chain and operations initiatives.
  • Identify specific considerations for analyzing supply chain data to make data-driven decisions.
  • Develop initial optimization models R to design supply chain networks.

Who Should Attend:

  • Supply Chain Experts: Supply Chain Analysts, Planning Analysts and Logistics and Supply Chain Managers interested in hands-on analytics training.
  • Operational Leaders: Frontline Leaders, Materials Managers, and Engineering Managers who want to improve their data-driven decision making.
  • Technical Experts: Data Analysts, Data Scientists, and technology leaders who want to develop supply chain context to support their technical background.

Future course dates coming soon!

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Course Details: RA00109

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Course Outline

  1. Optimization and Supply Chain Network Design
  2. Inventory Optimization
  3. Simulation for SCM (Monte Carlo Simulation and Discrete Event Simulation)
  4. Linear Models for SCM
  5. Time Series Forecasting
  6. LLMs and AI for SCM
  7. Geographic Data
  8. Automate Reporting

Instructors and Program Director

  • Instructors

    Ralph Asher

    Founder, Data Driven Supply Chain LLC

    First in the corporate world at General Mills and Target, and now as founder of Data Driven Supply Chain, I have dedicated my career to helping organizations transform their supply chains through decision science, data, and artificial intelligence (AI).

    Additionally, I am a proud veteran of the United States Marine Corps, and continue to serve as an officer in the Marine Corps Reserve.

    I hold a BS in Physics and an MS in Operations Research, and reside near Minneapolis, Minnesota.

    Jeff Clement

    Training Lead, Data Driven Supply Chain LLC

    I am an Assistant Professor of Information Systems at the School of Business and Economics at Augsburg University in Minneapolis, Minnesota. At Data Driven Supply Chain, I lead training for supply chain data scientists.

    I received my PhD in Information and Decision Sciences from the University of Minnesota, and focus my research at the intersection of AI-augmented decisions and healthcare. Prior to academia, I held a number of roles in industry and in the US Marine Corps that relied heavily on data analytics and supply chain forecasting.

  • Program Director

    Jenny Patzlaff

Total Credits:
CEU 1.4
PDH 14

Create a custom learning experience

We can deliver this course as an on-site learning experience tailored to your organization’s specific training needs.