Find the optimal locations of your manufacturing facilities to meet your customers’ demand and reduce production costs.
We will present a simple methodology using Linear Programming for Supply Chain Optimization considering:
- Fixed production costs of your facilities ($/Month)
- Variable production costs per unit produced ($/Unit)
- Shipping costs ($)
- Customer’s demand (Units)
As the Head of Supply Chain Management of an international manufacturing company, you want to redefine the Supply Chain Network for the next 5 years considering the recent increase in shipping costs and the forecasts of future demand.
Marietta, GA
amaziaytower@gmail.com / (678) 748-2048
I am a dedicated AI Engineer with extensive experience in designing, developing, and implementing machine learning models to address complex real-world challenges. My career has been characterized by a strong ability to collaborate with cross-functional teams, optimize models for performance and accuracy, and stay abreast of the latest advancements in AI technologies. I am eager to leverage my skills and experience to contribute to innovative solutions at EMPLOYER.
- Proficient in Python and R for machine learning and data analysis.
- Experienced with TensorFlow and Keras for developing and deploying sophisticated models.
- Skilled in using AWS and Google Cloud Platform for scalable AI solutions.
- Expertise in logistics optimization and process automation.
- Committed to continuous learning and staying updated with the latest advancements in machine learning and AI technologies.
Tower Transition Logistics International, Inc.
August 2018 - December 2024
- Designed and implemented machine learning models to optimize logistics operations, leading to significant cost reductions and efficiency improvements.
- Collaborated with cross-functional teams to integrate AI solutions into existing systems.
Rollis Business Group LLC
January 2012 - December 2016
- Led the company in developing innovative business strategies and enhancing brand visibility.
Innotech IT
January 2023 - November 2024
- Assisted in the development of predictive models and engaged in data preprocessing and feature engineering.
- Deployed machine learning models on AWS, gaining hands-on experience in optimizing models for performance and accuracy.
Atlanta Technical College
May 2018 - May 2020
- Comprehensive understanding of operations management, logistics, and data analysis.
- tmonk.net: Led the development of a platform combining AI with social initiatives for community engagement.
- Logistics Optimization Model: Developed machine learning models to optimize delivery routes, resulting in reduced costs and improved efficiency.
- Customer Behavior Prediction: Created predictive models to analyze customer purchasing patterns, leading to targeted marketing strategies.
This repository contains all the code used to explain the concepts presented in the article.
For consulting or advising on analytics and sustainable supply chain transformation, feel free to contact me via email.
Please have a look at my personal blog: Personal Website