

Stephen G. Powell
An active participant in shaping policies on management science and operations research, Stephen G. Powell is a distinguished professor of business administration at the Tuck School of Business at Dartmouth College. With a keen interest in the intricacies of production lines and the application of management science modeling to enhance business processes, Professor Powell has made significant contributions to the field through both his research and teaching. Professor Powell's academic journey began with undergraduate degrees in economics and mathematics from Oberlin College, where he cultivated a strong foundation in analytical thinking. He further honed his expertise by pursuing graduate studies at Stanford University's Department of Engineering-Economic Systems, equipping him with a robust understanding of engineering principles and economic systems. Throughout his career, Professor Powell has been dedicated to advancing the field of management science. He has developed a variety of courses that have enriched the curriculum at Tuck, focusing on equipping students with the skills necessary to tackle complex business challenges using quantitative methods. His commitment to education and innovation in teaching was recognized in 2001 when he received the prestigious INFORMS Prize for the Teaching of OR/MS Practice. In addition to his teaching and research endeavors, Professor Powell actively engages with the academic community, contributing to the development of policies and practices that shape the future of management science. His work not only influences the academic sphere but also has practical implications for businesses seeking to optimize their operations and improve efficiency. Professor Powell's expertise and dedication have made him a respected figure in the field of management science, and his contributions continue to inspire both students and professionals alike. His ongoing research and commitment to education ensure that he remains at the forefront of developments in operations research and production line modeling.
Publications
, 983-988, 1987-11-01
, 55-76, 1991-07-01