Supply Chain Optimization and Prescriptive Analytics

  • Overview
  • Course Content
  • Requirements & Materials
Overview

Supply Chain Optimization and Prescriptive Analytics

Course Description

As the fourth course in the Supply Chain Analytics Professional Certificate 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 the Transforming Supply Chain Management and Performance Analysis, Creating Business Value with Statistical Analysis, and Machine Learning Applications for Supply Chain Planning courses prior to this capstone, we suggest you being familiar with their learning outcomes.

Course Content

OPTIMIZE SUPPLY CHAIN CHALLENGE

VARIOUS TECHNIQUES

  • Linear programming
  • Heuristics

EVALUATE USING OPTIMIZATION

  • Production processes
  • Distribution network

HACKATHON

  • Optimize CBC’s supply chain performance
  • Design network and inventory policies
  • Create scenarios
  • Evaluate using simulation
  • Analyze outcomes
Requirements & Materials
Important Information

Access to the content for this course requires you to set up a password for your Georgia Tech (GT) account different from your account and password on this website.  

After you complete your registration follow the "How to Access Your Course Content" instructions which display on the session details (summary) page for this course.

Prerequisites

Recommended

Required

  • Elementary knowledge of statistics
  • Basic coding skills
  • Experience using Python, Power BI*

*Don’t have experience with Python or PowerBI? We designed the courses to apply to both people with experience and without experience in these programs. We will provide resources for installing and getting started with the programs in the weeks leading up to the course. One week before the course starts, we will have a webinar to provide more guidance and provide direct assistance. During the course, we will provide the solutions to the exercises so that participants can choose to write the code on their own, use the solutions as hints, or use the solutions entirely and focus on the content rather than coding.

Materials

Required

  • Laptop computer

Provided

  • Lecture materials via PDF in Canvas

Session Details

  • Register and pay for all required courses in a Supply Chain & Logistics certificate and receive a discount of 17% off per course. Enter coupon code SCL-Cert at checkout. Returning students of the Supply Chain & Logistics Institute (SCL) courses or alumni of GT EMIL and MSSCE programs are eligible to receive a 10% discount. Enter coupon code SCL-Alum at checkout. Members of certain organizations are eligible to receive a 10% discount. Enter coupon code SCL-Org at checkout. Review coupon instructions for more information.

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. The course will benefit learners who want additional tools and who want to become a change agent that tackles strategic supply chain goals.  

Supply chain professionals collaborating during course

What You Will Learn

  • The role of mathematical optimization in addressing complex supply chain planning challenges  
  • Linear programming, mixed integer programming, and heuristics application
  • How to evaluate production processes, distribution network, and routes using optimization
  • Supply chain performance optimization
  • Network and inventory policy design
  • How to build optimization models
Supply chain professionals collaborating in warehouse

How You Will Benefit

  • Use mathematical optimization to address complex supply chain planning challenges.
  • Understand the application of linear programming, mixed integer programming, and heuristics.
  • Apply Python’s optimization capabilities to analyze production processes, distribution networks, and routes.
  • Leverage Power BI platform for collaborative planning, visualization, and data management.
  • Taught by Experts in the Field icon
    Taught by Experts in the Field
  • Grow Your Professional Network icon
    Grow Your Professional Network

The purpose of taking these courses was to advance my career and gain and greater understanding of the role that I am in with my employer. Our group was diverse in all of their roles and came from various industries, so I was able to get information they shared, and I can apply that to what I am doing in my own role.

- Roz Nero
Procurement Negotiator and Proposal Specialist
Roz Nero, procurement specialist

TRAIN AT YOUR LOCATION

We enable employers to provide specialized, on-location training on their own timetables. Our world-renowned experts can create unique content that meets your employees' specific needs. We also have the ability to deliver courses via web conferencing or on-demand online videos. For 15 or more students, it is more cost-effective for us to come to you.

  • Save Money
  • Flexible Schedule
  • Group Training
  • Customize Content
  • On-Site Training
  • Earn a Certificate
Learn More

Want to learn more about this course?