Dr. Bryan R. Moser is Academic Director of System Design & Management (SDM) at MIT, and a Senior Lecturer in both Engineering and the Sloan School of Management. He is also a Project Associate Professor at the University of Tokyo, where he directs the Global Teamwork Lab (GTL). Prior to returning to MIT in 2014, he worked for 25 years in industry; as a research engineer at the Basic Science Lab (A.I.) of Nissan Motor Company, as a Sr. Research Scientist at United Technologies Corporation, and as founder and President of Global Project Design, a firm pioneering software and methods for model-based project management. Moser focuses on engineering teamwork for complex systems problems and use of model-based methods to improve performance of diverse teams. Moser received a bachelor’s in computer science and Engineering in 1987 and a Master of Science in Technology and Policy from the Massachusetts Institute of Technology in 1989. His doctorate in 2012 is from the University of Tokyo, Graduate School of Frontier Sciences.View the profile
About the talk
Organizations working with engineered and manufactured systems have decades of pioneering experience in the design, implementation, and operation of instrumented products. Aerospace, automotive, maritime, and building systems are often highly laden with sensors that observe real-time performance of these products as they operate. Remote observers communicate and control these systems from afar. Over the lifetime of these systems – airplanes, cars, buildings, and ships – data on the performance across a large set of diverse, released product systems reveals much about the gap between as-designed, as-built, and as-operated actual systems. Even though the IoT trend is not new, the scale, reduced latency and cost, heterogeneity, and especially interconnectivity of these systems across economic and social infrastructures have advanced dramatically. For this talk, rather than viewing sensor and data product by product, we consider the combined performance of instrumented products and instrumented people. Instrumentation of teamwork will be shown as the capability to see and predict in real time the performance of human teams as they work, coordinate, wait, make mistakes, adjust and learn (or not.) In this presentation we will focus on the instrumentation and analysis of engineering teams, and other teams of diverse capability working on complex systems. To take advantage of these opportunities, not only will the design of our engineered systems advance, but also how we engineer will be transformed. The important concurrent trend in model-based or digital engineering along with IoT will be considered.
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