Supply chain forecasting is becoming an increasingly critical component of operational success. Accurate forecasting enables companies to optimize inventory levels, reduce waste, enhance customer ...

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.

Supply chain leaders are increasingly turning to artificial intelligence to revolutionize their demand-forecasting and inventory-management strategies. This shift comes as traditional forecasting ...

A lean XAI framework combining SHAP, SHAPTime, and rolling-origin validation delivers stable, horizon-aware explanations for ...

On the Dynamics Square blog, Awanish Kumar wrote that demand forecasting plays a vital role in supply chain management, helping businesses make smarter decisions and reduce costs. He stated that if ...

Supply chain leaders are under pressure to anticipate disruptions, manage costs and respond to shifting demand. AI offers new ...

Logistics companies are thriving on speed and agility. What makes them run successfully? To process shipping and manage the inventory, efficient supply chain providers are essential. Therefore, supply ...

Time series forecasting is central to modern supply chain management, enabling organisations to anticipate future demand, optimise inventory levels and streamline logistics. Classical statistical ...

Editor’s note: This article first appeared on the University of Tennessee, Knoxville’s Global Supply Chain Institute’s blog. It is being reprinted with permission. You can read the original post here.

Over the past half-century, the area of supply chain management has grown from improving labor-intensive processes to managing complex global networks. Overseeing a modern, global supply chain means ...