文献类型：期刊文献

英文题名：On a paired-t confidence interval based ranking and selection method

作者：Wu, Yifan[1]; Liu, Liping[1]; Li, Shuxia[1]

机构：[1] Department of Management Science and Engineering, Institute of Operations and Supply Chain Management, East China University of Science and Technology, Shanghai, 200237, China

年份：2014

起止页码：889

外文期刊名：FAIM 2014 - Proceedings of the 24th International Conference on Flexible Automation and Intelligent Manufacturing: Capturing Competitive Advantage via Advanced Manufacturing and Enterprise Transformation

收录：EI(收录号：20161202117464)

语种：英文

外文关键词：Competition - Numerical methods - Manufacture

摘要：Simulation optimization is a widely used methodology for complex stochastic system design. Though the simulation provides a flexible tool for model building, the optimization process could be very challenging due to the cumbersome computing times. A paired-t confidence interval based ranking and selection method is developed to tackle such a problem. The survive probability of each candidate system is calculated with the lower and upper bounds of the confidence interval obtained using paired-t comparison method. The proposed method is tested with several numerical examples. The experimental results suggest that the proposed method outperforms the other classical Ranking and Selection procedures. ? Copyright 2014 by DEStech Publications, Inc. All rights reserved.