Kemper Lewis mainly investigates Engineering design process, Mathematical optimization, Systems engineering, Multi-objective optimization and Pareto principle. His work deals with themes such as Management science, Concurrent engineering, Game theory, Robustness and Operations research, which intersect with Engineering design process. His Management science research integrates issues from Complex system and Industrial engineering.
He specializes in Mathematical optimization, namely Engineering optimization. His Systems engineering study combines topics in areas such as Conceptual design and Component. His Pareto principle research is multidisciplinary, incorporating perspectives in Computer programming and Genetic programming.
Kemper Lewis mainly focuses on Engineering design process, Mathematical optimization, Systems engineering, Design process and Pareto principle. His Engineering design process research incorporates themes from Engineering education, Selection, Decision support system, Game theory and Operations research. His Game theory research includes elements of Management science, Industrial engineering and Nash equilibrium.
His Mathematical optimization research includes themes of Visualization and Metamodeling. His work carried out in the field of Systems engineering brings together such families of science as Probabilistic design and Risk analysis. The various areas that Kemper Lewis examines in his Design process study include Stability, Complex system, Optimization problem and Distributed computing.
Kemper Lewis spends much of his time researching Engineering design process, Product design, Artificial intelligence, Systems engineering and Design process. As a part of the same scientific family, Kemper Lewis mostly works in the field of Engineering design process, focusing on Manufacturing engineering and, on occasion, Curriculum. His research on Systems engineering also deals with topics like
In his study, Design architecture and Process modeling is strongly linked to Transient response, which falls under the umbrella field of Design process. The Leverage study combines topics in areas such as New product development, Probabilistic design, Mathematical optimization, Game theory and Iterative design. His Mathematical optimization research focuses on Reinforcement learning and how it connects with Distributed generation.
His primary areas of investigation include Product design, Engineering design process, Design process, Design technology and Risk analysis. Kemper Lewis applies his multidisciplinary studies on Engineering design process and Work in his research. His studies deal with areas such as Probabilistic design, Consumer behaviour, Simulation and Product engineering as well as Design process.
Kemper Lewis interconnects Empathic design, Industrial engineering, Product design specification, User-centered design and Software engineering in the investigation of issues within Design technology. Kemper Lewis has included themes like Life-cycle assessment, Mathematical model and Management science in his Risk analysis study. The study incorporates disciplines such as Affordance, Human–computer interaction and Artifact in addition to Systems engineering.
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Collaborative, Sequential, and Isolated Decisions in Design
K. Lewis;F. Mistree.
Journal of Mechanical Design (1997)
A Comprehensive Robust Design Approach for Decision Trade-Offs in Complex Systems Design
M. Kalsi;K. Hacker;K. Lewis.
design automation conference (1999)
Robust Design Approach for Achieving Flexibility in Multidisciplinary Design
Wei Chen;Kemper Lewis.
AIAA Journal (1999)
Modeling Interactions in Multidisciplinary Design: A Game Theoretic Approach
Kemper Lewis;Farrokh Mistree.
AIAA Journal (1997)
Pareto analysis in multiobjective optimization using the collinearity theorem and scaling method
E. M. Kasprzak;K. E. Lewis.
Structural and Multidisciplinary Optimization (2001)
Flexible and Reconfigurable Systems: Nomenclature and Review
Scott Ferguson;Afreen Siddiqi;Kemper Lewis;Olivier L. de Weck.
design automation conference (2007)
A Framework for Flexible Systems and Its Implementation in Multiattribute Decision Making
Andrew Olewnik;Trevor Brauen;Scott Ferguson;Kemper Lewis.
Journal of Mechanical Design (2001)
The future of waste management in smart and sustainable cities: A review and concept paper.
Behzad Esmaeilian;Ben Wang;Kemper Lewis;Fabio Duarte;Fabio Duarte.
Waste Management (2018)
Effective Generation of Pareto Sets Using Genetic Programming
John Eddy;Kemper Lewis.
design automation conference (2001)
Visualization of Multidimensional Design and Optimization Data Using Cloud Visualization
John Eddy;Kemper E. Lewis.
design automation conference (2002)
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