Authors:
Alex Carroll, Troy Egar
MIT Supply Chain Management Program
35
Summary:
Our project focuses on optimizing our sponsor company’s drop trailer program within an extensive supply chain network, employing cutting-edge machine learning techniques for precise demand forecasting and optimization. By tackling the challenges of asset efficiency and cost tracking in volatile transportation markets, we aim to enhance operational effectiveness and strategic decision-making, promising substantial improvements in both cost savings and service quality. Our application of these innovative technologies marks a pivotal development in the industry, and we hope to add more effective tools to the field supply chain management.
Bravo