Areas of Focus
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 course is comprised of (4) half-day online instructor-led LIVE group webinars (Oct 9, 10, 11, 12 | 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.
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.
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.
Below is format for the online/virtual-Instructor led version of the course.
For those interested in earning the Supply Chain Analytics (SCA) Professional Certificate, take the below 4 courses within four years.
On the first day, please log in at least 15 minutes before the class start time.
Standard: $1,100.00, Certificate: $913.00 (cost of each course when signing up for and paying for a multi-course certificate program).
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.
Discounts cannot be combined. For questions, call 404-894-2343 or send us an email prior to registration.
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.
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.
We designed each course to meet the needs of students who are taking the full certificate series along with the needs of students who are taking a single course. Each course will start with a brief review of previous content for the benefit of everyone but will not go into detail. For the hands-on exercises, we will not expect anyone to come prepared with previously completed work.