shuguanghe@tju.edu.cn
管理科学与工程
北洋****
教授
复杂超精密制造工艺优化与数据挖掘

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大数据驱动的产品可靠性改进方法研究

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一汽解放质量和成本分析项目

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二维质保数据建模与产品早期失效预警研究

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多元过程监控与诊断的机器学习方法研究

Predicting Field Reliability Based on Two-dimensional Warranty Data with Learning Effects

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Two-dimensional base warranty design based on a new demand function considering heterogeneous usage rate

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Warranty Claims Forecasting based on a General Imperfect Repair Model Considering Usage Rate

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Design of Extended Warranty Service in a Dual Supply Channel.

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Nonparametric Change-point Detection for Profiles with Binary Data

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Field Reliability Modeling based on Two-dimensional Warranty Data with Censoring Times

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A Distance-based Control Chart for Monitoring Multivariate Processes using Support Vector Machines

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Reliability Improvement of Diamond Drill Bits using Design of Experiments

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Information sharing under different warranty policies with cost sharing in Supply Chains

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Determination of the Warranty Service Method Switch Time of Old Generation Products after New Generation Products Launched

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Reliability modeling with condition-based maintenance for binary-state deteriorating systems considering zoned shock effects

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Should short warranty always be interpreted as low quality: The effect of brand advantages on warranty’s signalization

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Optimal condition-based maintenance policy with delay for systems subject to competing failures under continuous monitoring

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Utilizing experimental degradation data for warranty cost optimization under imperfect repair

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Two-dimensional Warranty Period Optimization Considering the Trade-off between Warranty Cost and Boosted Demand

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CUSUM Charts for Monitoring Bivariate Zero-inflated Poisson Processes with an Application in the LED Packaging Industry

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Multivariate Measurement System Analysis in Multisite Testing: an Online Technique using Principal Components Analysis

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Multivariate Process Monitoring and Fault Identification using Multiple Decision Tree Classifiers

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CUSUM Charts for Monitoring a Zero-inflated Poisson Process

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A Combination of CUSUM Charts for Monitoring a Zero-Inflated Poisson Process

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Online Monitoring and Fault Identification of Mean Shifts in Bivariate Processes using Decision Tree Learning Techniques

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CUSUM Control Charts for Multivariate Poisson Distribution