Journal of Northeastern University Natural Science ›› 2015, Vol. 36 ›› Issue (6): 848-852.DOI: 10.12068/j.issn.1005-3026.2015.06.020

• Mechanical Engineering • Previous Articles     Next Articles

Genetic Algorithm-based Service Module Configuration Design of CNC Machine Tools

SHENG Zhong-qi, XU Tao, XUAN Jia-yao, SONG Jun-you   

  1. School of Mechanical Engineering & Automation, Northeastern University, Shenyang 110819, China.
  • Received:2014-05-05 Revised:2014-05-05 Online:2015-06-15 Published:2015-06-11
  • Contact: SHENG Zhong-qi
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Abstract: To realize the optimal design of the overall configuration of CNC machine tools, we use genetic algorithm to realize the configuration design of service module of CNC machine tools. According to the service type in product life cycle process, the service modules of CNC machine tools are classified into the product related service modules and the product unrelated service modules. We study the product unrelated service modules, using genetic algorithm to encode each service modules and using the service value coefficient, the service quality level and the customer satisfaction as the optimal object to establish the fitness function and set up the service modular multi-objective model of CNC machine tools. This algorithm can ensure the validity of the model through mutual constraint relationship between various service modules and submodules. Finally, the service module configuration scheme is solved by MATLAB.

Key words: genetic algorithm, CNC machine tools, service module, configuration design, MATLAB

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