Research Papers
Applying Statistical Design to Control the Risk of Over-Design with Stochastic Simulation
Authors:
Yi Wu ,
Dept. of Economics and Management, Beijing University of Aeronautics & Astronautics, Beijing
Peng Zhou,
Dept. of Economics and Management, Beijing University of Aeronautics & Astronautics, Beijing
Jian Lin,
Institute of Education, Tsinghua University, Beijing
Wanhua Qiu
Dept. of Economics and Management, Beijing University of Aeronautics & Astronautics, Beijing
Abstract
By comparing a hard real-time system and a soft real-time system, this article elicits the risk of over-design in soft real-time system designing. To deal with this risk, a novel concept of statistical design is proposed. The statistical design is the process accurately accounting for and mitigating the effects of variation in part geometry and other environmental conditions, while at the same time optimizing a target performance factor. However, statistical design can be a very difficult and complex task when using clas-sical mathematical methods. Thus, a simulation methodology to optimize the design is proposed in order to bridge the gap between real-time analysis and optimization for robust and reliable system design.
How to Cite:
Wu, Y., Zhou, P., Lin, J. and Qiu, W., 2010. Applying Statistical Design to Control the Risk of Over-Design with Stochastic Simulation. Data Science Journal, 9, pp.13–28. DOI: http://doi.org/10.2481/dsj.008-003
Published on
28 Feb 2010.
Peer Reviewed
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