Defining the 'humachine'
Distinguished Professor of Supply Chain Management, D’Amore-McKim School of Business
Nada Sanders applies predictive analytics and data-driven forecasting to operations management, risk management, and the creation of global supply chains. Her expertise lies in identifying best practices in forecasting, developing a corporate technology and supply chain strategy, and creating agile supply chains.
Sanders has collaborated with leaders in industry and of nongovernmental organizations, creating teams of both faculty and practitioners, to jointly address supply chain and operations questions. She uses data analytics to define what she calls the “humachine”—the optimal human-machine partnership—and what that means for the workplace.
Sanders holds a doctorate from the Ohio State University’s Fisher College of Business.