Special Note

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 You Will Learn

• 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 Prerequisite and Related Certificate Information

Recommended

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

Required

• 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 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

Course Materials

Required

• Canvas Learning Management System - Visit https://pe.gatech.edu/technology-requirements to ensure the computer you will be using meets the minimum technical requirements to access online material and lessons associated with this course.
• Zoom using both audio and video - Please visit https://zoom.us/test​​​​​​ 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

Provided

• A URL, username and password to access the online course material

Course CEUs

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

Course Fee

Standard Fee: $1,100.00

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.

All residents of the State of Georgia are eligible for a 50% discount while funds last thanks to a grant from the U.S. Department of Commerce's Economic Development Administration. Use of this discount is subject to verification of GA residency. Enter coupon code SCL-GAAIM at checkout.

If you have 3 or more participants from your organization, please contact us for volume discounts. Review coupon instructions for more information.

Discounts cannot be combined. For questions, call 404-894-2343 or send us an email prior to registration.

Cancellations

If SCL/GTPE cancels a course, registrants will be notified via email or phone and will receive a full refund. SCL/GTPE is not responsible for nonrefundable plane tickets, hotel and rental car deposits, nor any other expenses incurred.

Every effort is made to present the course as advertised herein; however, circumstances may make it necessary to alter the schedule and/or presenters.