The examples and student exercises will focus on the following areas: real options, supply chain management ... in-class case studies and group projects. All data analysis, optimization and simulation ...

Today, global trade is the backbone of economic growth. However, managing supply chains that stretch across continents is no ...

For example, supply chain analytics can help a food manufacturer forecast ingredient ... “If someone was an undergraduate psychology major, for example, and really likes numbers and data, we will ...

Data analytics is an extremely important aspect of any company that wants to effectively develop and scale its business.

Aurélien Viry: Following the COVID pandemic, some large corporates faced issues with their supply chain, suppliers, and ...

MRO occupies a unique position within the supply chain ecosystem, often called the "Supply Chain Triangle," where technology, ...

Within the production chain, generative AI can enhance retailers’ demand forecasting, capacity planning, predictive ...

Digitalization offers a path toward more efficient processes, enabling brands to shift from reactive quality and compliance ...

While traditional AI primarily focuses on making predictions and optimizing processes based on patterns in historical data, ...

Supply Chain Analytics also builds on aspects of the first-year Data Science for Managers (RC DSM) course. However, whereas RC DSM focuses primarily on mechanics and applications of particular data ...