Architecting A Knowledge-Based Platform for Design Engineering 4.0 Allen, Janet K.. This item is unavailable.Architecting A Knowledge-Based Platform for Design Engineering 4.0 Allen, Janet K.

Recognizing that simulation models are abstractions of reality the authors opt for a satisficing strategy instead of an optimization strategy. They include fundamentals and then describe tools for architecting a knowledge-based platforms for decision support. Challenges associated with developing a computational platform for decision support for the realization of complex engineered systems in the context of Design Engineering 4.0 are identified. Constructs for formulating design decisions (e.g., selection, compromise, and coupled decisions), knowledge modelling schemes (e.g., ontologies and modular templates), diagrams for designing decision workflows (e.g., the PEI-X diagram), and some analytical methods for robust design under uncertainty are presented. The authors describe integrating the knowledge-based platform to architect a cloud-based platform for decision support promoting co-design and cloud-based design communication essential for mass collaboration and open innovation for Design Engineering 4.0.

Janet K. Allen holds the John and Mary Moore Chair of Engineering at the University of Oklahoma, Norman. She received her SB from the Massachusetts Institute of Technology and her PhD form the University of California, Berkeley. Her research focus is on managing the uncertainty which is inherent in simulation-based design. Her group was among the first to recognize that there are four types of uncertainty inherent in simulation-based design andto suggest that this uncertainty could be managed with robust design. Janet Allen and her research group have co-authored one textbook and three monographs and more than 300 technical articles. She is a member of several academic and professional organizations, and is a Fellow of the American Society of Mechanical Engineers, a Senior Member of the American Institute of Aeronautics and Astronautics and is an Honorary Member of the Mechanical Engineering Honor Society Pi Tau Sigma. Professor Allen co-directs the Systems Realization Laboratory @ OU with Professor Farrokh Mistree. Yan Yan is a Professor of the School of Mechanical Engineering at Beijing Institute of Technology (BIT). She is also the Dean of the Department of Human Resource at BIT. Professor Yan received her Bachelor’s degree in 1989 and her PhD in 2001, both of them are in Mechanical Engineering at BIT. Her research interests include digital platform for design and manufacturing, knowledge-based engineering, decision-based design, and artificial intelligence in design and manufacturing. She has accomplished tens of projects funded by the Chinese NSF, Beijing NSF, and Chinese Key R&D Programs. Professor Yan has received seven National Science and Technology Advance Awards, one National Teaching Award. She has been granted more than ten patents in China, published three textbooks and two monographs (in Chinese), published more than eighty journal papers (in Chinese and English). She is a member of the Teaching Steering Committee of Industrial Engineering Specialty of China Ministry of Education, a member of the Chinese Society of Mechanical Engineers, an expert of Advance Design and Manufacturing in the Chinese Key R&D Programs.