导师个人信息
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    陈庆新 教授
    来源: 时间:2019-05-30 浏览:

    1. 教育经历:

    1988.9-1991.12:博士,西安交通大学,系统工程专业

    1985.9-1988.6 :硕士,西安交通大学,机电控制专业

    1981.9-1985.6 :学士,西安交通大学,液压控制专业

    2. 工作经历:

    1998.8-至今 :广东工业大学机电工程学院

    1994.1-1998.7 :汕头大学工学院机电工程系

    1992.1-1993.12:西安交通大学系统工程研究所

    博士生导师(2003年),教授(1999年)。

    3. 研究方向:

    1.定制型生产制造系统的设计规划方法:智能车间的资源配置方法、布局优化方法;

    2.定制型生产制造系统的运作控制方法:需求及能力计划、反应式调度、协同监控。

    3.智能/数字化制造系统:ERP、MES、APS等。

    4. 获奖情况:

    获得2014年度广东省优秀博士论文指导教师称号

    获得2013年度广东省科学技术一等奖(排名第二)

    5. 学术兼职

    [1] 《工业工程》杂志主编;

    [2] 全国工业工程协会常务理事;

    [3] 国家自然科学基金会通讯评议专家

    6. 主持的主要项目:

    [1]国家自然科学基金面上项目,61973089,多层单元流水式车间及智能物料储运系统的布局优化方法。2020.01-2023.12。在研项目。

    [2]国家自然科学基金面上项目,61573109,批量储运耦合多机器人制造单元的随机生产系统资源优化配置。2016.01-2019.12。按期结题。

    [3]国家自然科学基金面上项目,51175094,模具制造系统负荷均衡化与生产进度控制方法研究。2012.01-2015.12。按期结题。

    [4]国家863/CIMS跟踪研究项目,2007AA04Z1A8,基于语义本体的模具企业知识归纳技术。2007.10-2009.06。通过专家组验收结题。

    [5]国家自然科学基金面上项目,50675039,具有前摄与反应复合控制机制的随机模具制造系统研究。 2007.01-2009.12。按期结题。

    [6]国家自然科学基金面上项目,50375030,特许连锁模式下的模具网格化制造系统研究。2004.01-2006.12。按期结题。

    [7]国家自然科学基金高技术探索项目,50085001,面向CPC的模具网络制造系统的理论与关键技术。2001.01-2003.12。按期结题。

    [8]国家863/CIMS跟踪研究项目,863-511-9944-008,具有半分散结构的模具异地制造协同管理及过程控制。1999.03-2000.10。通过专家组验收结题。

    [9]国家863/CIMS跟踪研究项目,863-511-9510-004,并行工程环境下基于分层递阶模型的产品质量反馈控制系统。1995.08-1997.09。通过专家组验收结题。

    7. 代表性论文:

    1.Zhang, H., Xi, S., Chen, Q., Smith, J. M., Mao, N. and Li, X., Performance Analysis of a Flexible Flow Shop with Random and State Dependent Batch Transport. International Journal of Production Research, DOI: 10.1080/00207543.2020.1712488, 2020.

    2.Xi, S., Chen, Q., Smith, J. M., Mao, N., Yu, A., Zhang, H., A New Method for Solving Buffer Allocation Problem in Large Unbalanced Production Lines. International Journal of Production Research, DOI: 10.1080/00207543.2019.1685709, 2019.

    3.Lai, X., Zhang, Q., Chen, Q., Huang, Y., Mao, N. and Liu, J., The Analytics of Product Design Requirements Using Dynamic Internet Data Application to Chinese Smartphone Market. International Journal of Production Research, 57(18):5660-5684. 2019.

    4.Leng, J., Chen, Q., Mao, N., Jiang, P., Combining Granular Computing Technique with Deep Learning for Service Planning under Social Manufacturing Contexts. Knowledge-Based Systems, 143(2): 295-306. 2018.

    5.Zhang, H., Chen, Q., Smith, J. M., Mao, N., Yu, A., Li.,Z., Performance Analysis of Open General Queuing Networks with Blocking and Feedback. International Journal of Production Research, 55(19):5760-5781. 2017.

    6.Huang, J.D., Liu, J.J., Chen, Q.X. and Mao, N., Minimizing Make-span in a Two Stage Flow Shop with Parallel Batch Processing Machines and Re-entrant Jobs. Engineering Optimization, 49(6): 1010-1023. 2017.

    7.Zhang, H., Chen, Q., Mao, N., System Performance Analysis of Flexible Flow Shop with Match Processing Constraint. International Journal of Production Research, 54(6):6052-6070. 2016.

    8.Liu, J.J., Li, Z.T., Chen, Q.X. and Mao, N., Controlling Delivery and Energy Performance of Parallel Batch Processors in Dynamic Mould Manufacturing. Computers & Operations Research, 66(2): 116–129. 2016.

    9.Li, Zhan-tao, Liu, Jianjun, Chen, Qing-xin, Mao, Ning, Wang, Xiaoming. Approximation Algorithms for the Three-stage Flexible Flow Shop Problem with Mid Group Constraint. Expert Systems with Applications, 42(7): 3571-3584. 2015.

    10.Wang, X., Chen, Q., Mao, N., Chen, X., Li, Z.,Proactive Approach for RCMPSP Based on Multi-priority Rule Combinations. International Journal of Production Research, 53(4): 1098-1110.2015.

    11.Li, Z., Chen, Q., Mao, N., Wang, X.,Liu, J.,Scheduling Rules for Two-stage Flexible Flow Shop Scheduling Problem Subject to Tail Group Constraint. International Journal of Production Economics, 146(12): 667-678. 2013.

    12.Liu, J.J., Chen, Q.X., Mao, N. and Chen, X.D., Bi-objective Dynamic Control Batch Processor with Non-identical Jobs in Mould Manufacturing. International Journal of Production Research, 51(6): 1820-1835. 2013.

    13.Liu, J.J., Lin, Z.A., Chen, Q.X., Mao, N. and Chen, X.D.,A Decision Support to Assign Mould Due Date at Customer Enquiry Stage in Computer-integrated Manufacturing (CIM) Environment. International Journal of Computer Integrated Manufacturing, 26(6): 571-582. 2013.

    14.Li, Z., Chen, Q., Mao, N.,A Heuristic Algorithm for Two-stage Flexible Flow Shop Scheduling with Head Group Constraint. International Journal of Production Research, 51(3): 751-771. 2013.

    15.Wang, Z., Qu, T., Chen, Q., Luo, H.,Mao, N., Resource Model and Service Match Algorithm for Mould Manufacturing Grid. International Journal of Computer Integrated Manufacturing, 25(11): 1011-1028. 2012.

    16.Liu, J.J. Chen, Q.X. Mao, N. and Lin, Z. A. A Multi-agent-based Mould Due Date Setting Approach in Stochastic Production. International Journal of Production Research, 49(5): 1353-1371. 2011.

    17.Chen, Q.X., Chen, X. and Lee, W.B. Qualitative Search Algorithms for Partner Selection & Task Allocation in the Formulation of Virtual Enterprises. International Journal of Computer Integrated Manufacturing. 20 (2-3), 115-126. 2007.

    18.Chen, Q.X. and Mao, N., Modeling Manufacturing Process for Quality Feedback in the Environment of Concurrent Engineering. International Journal of Computer Integrated Manufacturing. 17(1): 29-44. 2004.

    19.Chen, Q. X. and Wan, B.W., A new approach to estimate a steady state model of an industrial process. International Journal of Systems Science. 30(10): 1073-1091. 1999.

    20.Chen, Q. X. and Wan, B.W., Steady-State Identification for Large-scale Industrial Process by Means of Dynamic Models. International Journal of Systems Science. 25(5): 1079-1101. 1995.

    21.Chen, Q. X. and Wan, B.W., Asymptotic Normality Analysis of the Estimation Errors of Steady-State Model of Industrial Process. International Journal of Systems Science. 23(11): 2003-2023. 1992.

    通信地址

    办公地点:广东工业大学工学二号馆622室

    通信地址:广州大学城外环西路100号

    邮政编码:510006

    联系电话:13570251203

    Fax: (020)39322415

    Email: qxchen@gdut.edu.cn


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