Editor’s Note: The SCM capstone Drop Trailer Forecasting in Volatile Networks was authored by Alex Carroll and Troy Egar. The project was supervised by Dr. Elenna Dugundji ([email protected]) and Dr.
Once upon a time, supply-chain forecasts were more predictable, governed by seasonal patterns and broad economic factors. However, during the pandemic, the combination of countless production and ...
The machine learning market is growing in leaps and bounds, and experts project continued growth. A report by McKinsey indicates that AI has a large potential to be a significant driver of economic ...
As discussed at The Association for Health Care Resource & Materials Management (AHRMM) 21+ virtual conference on September 14-16th, gaps in technology or data can reinforce silos in healthcare supply ...
The VN1 Forecasting Challenge is a collaborative effort by Flieber, Syrup Tech, and SupChains to push the boundaries of AI in supply chain management. By leveraging their combined expertise, the ...
The healthcare sector is reexamining how to build greater flexibility into supply chains while preserving efficiency and preparing for future shocks to the system. Sharing best practices can uncover ...
Someday, we’ll regale our grandchildren with tales of the COVID-19 era — about how, at the height of the global lockdown, venturing from our homes was virtually unthinkable without masks, hand ...
The landscape of demand forecasting, data science and machine learning is rapidly evolving, as companies seek innovative approaches to handle the intricate intersection between technology and consumer ...
The o9 program was delivered in collaboration with Accenture through five phased go-lives between March and December 2025, ...
Discover how supply chain management optimizes production and distribution, reduces costs, and enhances efficiency from raw ...
It is safe to assume that any service provider in the logistics industry will tell you that their process of managing a supply chain is the most efficient, and that they implement the most effective ...
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