Winner of an Outstanding Professor of the Year award, Rotimi Aderohunmu served as an assistant professor at the School of Management at the State University of New York. Rotimi Aderohunmu teaches courses about quality management in the manufacturing industry and concepts such as just-in-time manufacturing or statistical quality control. Statistical quality control is a methodology that helps companies determine whether or not the products they create are good. Using this methodology, a company can produce better quality products as they are analyzed before they are released and shipped. This can increase the popularity of the firm and improve customer satisfaction. Quality control also involves analyzing the manufacturing processes and operations, and improving these processes can enable a company to reduce production costs. In this way, the company can produce fewer defects and waste fewer resources. With statistical quality control, companies can understand what products represent vital assets and are sought by potential customers and those that are not up to standard. Statistical quality control can have benefits even for employees as they can feel that they are working for something that matters and produce better quality products.