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Supply Chain Optimization and Prescriptive Analytics

Special Note

This course is the fourth and final course of the Supply Chain Analytics Professional (SCA) certificate. While participants are not required to complete the program’s previous courses in the series, we suggest being familiar with the learning outcomes of the previous courses.

The online/virtual instructor-led version of the course is comprised of (4) half-day online instructor-led LIVE group webinars (May 16, 17 18, 19 | 1-5pm ET) and pre-work (e.g. installing and testing software on your computer, testing connectivity with LMS and meeting software, etc.) to be completed before the first day of the course.

The onsite/in-person version of the course takes place on the Georgia Tech campus over 2 days.

Course discounts are available! For more information please email and mention which course you are interested in and which version (Online or Onsite/In-Person).

Course Description

As the capstone in the Supply Chain Analytics Professional program, this course combines advanced analytics and mathematical optimization to find solutions for supply chain problems. You’ll learn various techniques, such as linear programming, mixed integer programming, and heuristics, with a focus on production processes, distribution network optimization, and routing. You’ll learn how to make data-driven decisions based on prescriptive analytics along with best practices for implementing optimization applications. Using the fictional Cardboard Company (CBC) case study, you’ll create production plans that maximize profit, use heuristics to make effective routing decisions, and prescribe ways to reduce costs throughout the supply chain.

While you are not required to complete Transforming Supply Chain Management and Performance Analysis, Creating Business Value with Statistical Analysis, and Machine Learning Applications for Supply Chain Planning prior to this course, we suggest you being familiar with their learning outcomes.

Who Should Attend

Experienced business professionals who perform or want to perform analytics to improve their supply chain management processes. They want to tackle strategic goals and to perform leading edge analytics projects that address the full complexity of supply chains.

How You Will Benefit

  • Use mathematical optimization to transform Supply Chain Management (SCM) processes.
  • Apply LP, MIP, and heuristics to SCM, particularly in production planning, routing, and network design.
  • Utilize PowerBI and Python in optimization projects.
  • Participate in a hackathon that pulls together everything learned throughout the certificate program.

What Is Covered

  • Role of mathematical optimization in addressing complex SCM challenges  
  • Appropriate application of linear programming (LP), mixed integer programming (MIP), and heuristics
  • Evaluation of production processes, distribution networks, and routes using optimization
  • Ability to pull together all content of the certificate program into a prescriptive analytics project
  • Hands-on practice with these skills using data from the (fictional) Cardboard Company (CBC)

Below is format for the online/virtual-Instructor led version of the course.

Webinar 1 – Optimization (LP and MIP)
Intro to optimization as it relates to SCM
Linear programming
Mixed integer programming
Activity: Discuss how to apply optimization to the Cardboard Company (CBC) case
Homework: Discuss on group board
Webinar 2 – Production Planning
Optimization heuristics
Optimization for production planning
Activity: Use MIP to evaluate CBC’s production processes
Homework: Finish developing MIP for CBC
Webinar 3 – Routing and Network Design
Optimization for routing
Optimization for network design
Activity: design CBC inventory policies
Homework: Prepare for hackathon
Webinar 4 – Course Capstone (Hackathon)
Optimize CBC’s supply chain performance
Design inventory policies
Design network
Create scenarios
Evaluate scenarios via simulation
Evaluate scenario outcomes
Final assignment (due 1 week after last webinar)
  • Complete hackathon activities
  • Create an explanation of your hackathon choices for the instructors
  • Complete final assessment

Course Materials


  • Canvas Learning Management System - Visit to ensure the computer you will be using meets the minimum technical requirements to access online material and lessons associated with this course.
  • BlueJeans using both audio and video - Please visit​​​​​​ to ensure the computer you will be using is compatible.
  • Python installed on local computer with additional packages identified by the instructors
  • Power BI installed on local computer


  • A URL, username and password to access the online course material
  • Optional 2-Hour Online Preparation Seminar offered one week prior to course start which will provide a high-level overview of the software that will be used during the course.
    • Course software: Canvas and video conferencing services
    • Python: Installation and Basics
    • PowerBI: Installation and Basics

Course Prerequisite and Related Certificate Information


  • General SCM knowledge
  • A general understanding of probability
  • Basic Python / Programming experience
  • Basic PowerBI experience


  • Knowledge of content and ability to apply skills covered in Courses 1-3 of the program

For those interested in earning the Supply Chain Analytics (SCA) Professional Certificate, take the below 4 courses within four years.

  1. Transforming Supply Chain Management and Performance Analysis
  2. Creating Business Value with Statistical Analysis
  3. Machine Learning Applications for Supply Chain Planning
  4. Supply Chain Optimization and Prescriptive Analytics

Course CEUs

This course provides for 1.40 continuing education units (CEUs).

Course Instructors

Course Fees

Standard: $1,400.00, Alumni/Org Discount: $1,400.00, Certificate: $1,400.00 (cost of each course when signing up for and paying for a multi-course certificate program).

First time attendees pay the listed Course Fee. If you are a returning student of the Supply Chain & Logistics Institute (SCL) courses (or are active/retired military), you will receive a 10% discount when you enter the coupon code SCL-Alum on the "Check Out" page. If you register and pay for all required courses in a Supply Chain & Logistics certificate in one single transaction, you can receive a discount of 17% off each course by entering the coupon code SCL-Cert on the "Check Out" page. There are also discounts available for multiple-team member registrations or to members of certain organizations.

Discounts cannot be combined. For questions, call 404-385-8663 or send us an email prior to registration

The program fee for LIVE courses (non-online) includes continental breakfasts, lunches, breaks, parking, internet access, and all classroom materials.

If the Supply Chain & Logistics Institute must cancel a program, registrants will receive a full refund. Georgia Tech, however, cannot assume the responsibility for other costs incurred. Due to program enrollment limits, early registration is encouraged. Registrations will be acknowledged by a letter of confirmation from Professional Education.

Course Times

Online/Virtual Instructor-led 

On the first day, please log in at least 15 minutes before the class start time.

  • First Day - 1pm to 5pm ET
  • ​Second Day - 1pm to 5pm ET
  • Third Day - 1pm to 5pm ET
  • Fourth Day - 1pm to 5pm ET

On the first day, please arrive 30 minutes before the class start time.

  • First Day - 8am to 5pm ET
  • ​Second Day - 8am to 5pm ET


May 16, 2022 to May 19, 2022
Online (Instructor-led)

An interview with Daphne de Poot, one of the SCA course series instructors.

ISyE location map

Georgia Tech Supply Chain and
Logistics Institute
H. Milton Stewart School of
Industrial & Systems Engineering
765 Ferst Drive, NW, Suite 228
Atlanta, GA 30332
Phone: 404.894.2343