Manufacturing Engineering

  • Advanced Machining Technology Laboratory (AMT Lab)
  • Micro Manufacturing Technology Laboratory
  • Laser Micro/Nano Fabrication Laboratory
  • Digital Manufacturing Laboratory
  • Institute of Detection and Control
  • The Institute of Industrial and Systems Engineering (IISE)
  • The Institute of Mechatronics
  • Wang Guoxin

     

    NAME

    Wang Guoxin

     

    TITLE

    Associate Professor

    SCHOOL

    School of Mechanical Engineering

    DEPARTMENT

    Manufacturing Engineering

    OFFICE ADDRESS

    Beijing Institute of Technology

    POST CODE

    100081

    TELEPHONE

    010-68912718

    E-MAIL ADDRESS

    wangguoxin@bit.edu.cn

     

    Research and Teaching Interest

    My research is focused on the Reconfigurable Manufacturing System and Product Design based on Knowledge. In the field of Reconfigurable Manufacturing System, I work on the optimal design of reconfiguration, the decision making for the reconfigurable timing, the evaluation for the schema of RMS, and the modeling and simulation. For the Product Design based on Knowledge, I work on the modeling of knowledge, product process modeling and design decision making.

    Selected Publications and patents

    Wang Guoxin, Du Jingjun, Yan yan. Manufacturing System Configurations Optimization for the Workshop with Evenly Distribution of Machining Functions. Computer Integrated Manufacturing System, 2015,21(6): 1497-1506.

    Wang Guoxin, Wang Yinan, Yan Yan. Field theory-based concept similarity measuring method for the ontology , Computer Integrated Manufacturing System,2015.

    Wang GuoxinWang YilinYanyan. Scientific Research Project Budget Estimate Method Based on GA-BP Neural Network. Journal of Tongji University(Natural Science), 2014, 12(8):24-32

    Hao Jia, Yan Yan. User-oriented non-geometry design knowledge organization method. Computer Integrated Manufacturing System, 2014,20(6): 26-73.

    Wang Guoxin, Du Jingjun, Yanyan. Genetic algorithm-based balanced distribution of functional characteristics for machines. Journal of Beijing Institute of Technology(Natural Sciences English Edition),2013, 10(8): 29-36.

    Achievements and Awards

    National Defense Science and Technology Award, 2012

    Science and Technology Award of China North Industries Group Cooperation

    Professional Membership/Academic Appointments

    Expert of China Engineering Education Accreditation Association (CEEAA)