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    Chapter and Conference Paper

    Multiobjective Simulation Optimization Using Stochastic Kriging

    Multiobjective simulation optimization aims at finding Pareto optimal solutions and a common approach is to rely on metamodels to alleviate computational costs of the optimization process. We present a stochas...

    Jian-xia Zhang, Yi-zhong Ma, Lian-yan Zhu in Proceedings of the 22nd International Conf… (2016)

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    Chapter and Conference Paper

    Improved Rolled Throughput Yield: A Novel Method for Performance Measurement

    The quality level measurement of a given process is essential to six sigma process improvement. Indicators such as rolled throughput yield and six sigma level have been applied to estimate the efficiency of to...

    Jie **, Yi-zhong Ma, Lin-han Ouyang in Proceedings of the 5th International Asia … (2015)

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    Chapter and Conference Paper

    Optimization of Multiple Responses Considering both Model Uncertainty and Regret Effect

    Loss function approach is effective for multi-response optimization. However, previous loss function approach ignore model uncertainty and decision-makers’ regret effect when determining the optimal input sett...

    Lin-han Ouyang, Yi-zhong Ma, Ting-ting Huang in Proceedings of the 5th International Asia … (2015)

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    Chapter and Conference Paper

    A Multivariate Synthetic Control Chart for Monitoring Covariance Matrix Based on Conditional Entropy

    In multivariate statistical process control field, besides monitoring the changes in the mean vector of a multivariate process, it is important to detect the changes in the covariance matrix of a multivariate ...

    Li-** Liu, Jian-lan Zhong, Yi-zhong Ma in The 19th International Conference on Indus… (2013)

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    Article

    Ensemble of surrogates with recursive arithmetic average

    Surrogate models are often used to replace expensive simulations of engineering problems. The common approach is to construct a series of metamodels based on a training set, and then, from these surrogates, pi...

    **ao Jian Zhou, Yi Zhong Ma, Xu Fang Li in Structural and Multidisciplinary Optimization (2011)