The manufacturing supply chain is, by definition, the epitome of complexity. There are changing demands for product, varying levels of lead times for supplies, the balancing of production capacity, ...

This concentration is intended to prepare students for modeling and simulating various problems related to supply chain management, such as procurement, manufacturing, logistics and distribution, ...

Alex Koshulko is a leading supply chain planning expert with over 10 years of experience. Ph.D. CEO and cofounder of GMDH Streamline. I strongly believe that businesses can work more efficiently if ...

As e-commerce and logistics complexity grow, brands are turning to AI-driven simulation to forecast demand, test scenarios, ...

Analyst Insight: Most forecasting models and AI approaches used today are considered statistical models, which require large amounts of high-quality data to build the model. Often, data is difficult ...

In this month's issue of Supply Chain Management Review, we look at what lessons supply chain leaders can take from Olympic skier Lindsay Vonn’s career to ensure their digital transformation is a ...

Optimization is great for many things but terrible at capturing uncertainty and implementing recommendations on its own. Implementing optimization recommendations still requires a big dose of, “Well, ...

In these challenging times, product value can also be measured, beyond cost and function, by the ability of a manufacturer to quickly make and ship to a customer. With components and labor still not ...

Model poisoning, where training data is manipulated to introduce vulnerabilities or biases, is a significant threat. Here are some strategies to mitigate it. By following these best practices and ...