Start Submission Become a Reviewer

Reading: Applying Statistical Design to Control the Risk of Over-Design with Stochastic Simulation

Download

A- A+
dyslexia friendly

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
X close

Peng Zhou,

Dept. of Economics and Management, Beijing University of Aeronautics & Astronautics, Beijing
X close

Jian Lin,

Institute of Education, Tsinghua University, Beijing
X close

Wanhua Qiu

Dept. of Economics and Management, Beijing University of Aeronautics & Astronautics, Beijing
X close

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.
DOI: http://doi.org/10.2481/dsj.008-003
How to Cite: Wu, Y. et al., (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
6
Views
2
Downloads
Published on 28 Feb 2010.
Peer Reviewed

Downloads

  • PDF (EN)

    comments powered by Disqus