System Architecture: Strategy and Product Development for Complex Systems

Publication date: May 21, 2015

System Architecture: Strategy and Product Development for Complex Systems is a comprehensive text that brings new focus to the emerging discipline of systems architecture. Bridging engineering and management, this text contains a number of features to accelerate learning in the classroom and in the professional world.

Real world case studies and examples from leading system architects:

  • Case studies are included that apply system architecture to disciplines ranging from hybrid cars to commercial aircraft. Contributors include Norm Augustine, former CEO of Lockheed Martin,  Dr. Victor Tang, former special advisor to the CEO of IBM, and Dr. Willard Simmons, CTO of DataXu, the leading demand-side platform for online advertising.
  • This text builds from foundational examples, such as pumps, circuits, and sorting algorithms, to complex systems in networking and hybrid cars. These examples are built on the development experience of the authors in communications, transportation, mobile advertising, finance, robotics, and medical devices, ranging in complexity from farm equipment to the International Space Station.

About the authors

Edward Crawley is the Ford Professor of Engineering at MIT. From 2011 to 2016 he served as the founding president of the Skolkovo Insitute of Science and Technology, Moscow, a new university focused on science and innovation. Prior to that he served as the Director of the Bernard M. Gordon – MIT Engineering Leadership Program, an effort to significantly strengthen the quality of engineering leadership education for competitiveness and innovation.

Bruce Cameron is a lecturer in engineering at MIT and an instructor in the SDM integrated core class. He also frequently serves as a thesis advisor for SDM students. Bruce is the director of the System Architecture Group at MIT and also teaches in the Sloan School of Management Executive Education program. Bruce holds a B.A.Sc. from the University of Toronto and earned his Ph.D. and two M.S. degrees from MIT.

Daniel Selva is a Professor of Mechanical and Aerospace Engineering at Cornell. He has pioneered the use of machine learning tools in system architecture analysis, and is the recipient of Best Paper and Hottest Article awards for his work with NASA.