摘要
在产品生产阶段,装配工时可以用来安排、指导生产,合理的装配工时可以提高工人的工作效率及装配辅助设备的利用率,使得生产有序进行。采用core二次开发技术,应用XML解析技术,实现装配信息的自动获取;从模特法、企业标准资料法、数学模型法以及实测法中选择合适的方法对每个基本操作进行建模。将遗传算法优化参数的SVM算法应用到装配工时定额建模过程中,并取得了良好预测效果。最后通过实例验证,该方法可以自动、高效完成机电产品机装工序工时的计算,且误差低于经验估算法,符合企业实际情况。
In production phase, assembly man-hours can be used to guide production. Reasonable assembly man-hours can improve the work efficiency of workers and the utilization of assembly auxiliary equipment, so that the production can be carried out orderly. In this paper, the secondary development technology of Core is used with the XML analysis technology to realize the automatic acquisition of assembly information. Each of the basic operations is modeled by the appropriate method selected from the enterprise standard data method, mathematical model method, and actual measurement method. The SVM algorithm optimized by genetic algorithm is applied to the modelling of the assembly man-time, with which good prediction results are obtained. Then, through the example verification, the method can be used to automatically and efficiently calculate the machining process man-hour of mechanical and electrical equipment, and the error is lower than one of the empirical estimation method, which is in line with the actual situation.
作者
晁海涛
徐锋
许晨辉
李露
左敦稳
CHAO Haitao;XU Feng;XU Chenhui;LI Lu;ZUO Dunwen(College of Mechanical and Electrical Engineering, Nanjing University of Aeronautics & Astronautics, Nanjing 210016, China)
出处
《机械制造与自动化》
2019年第5期22-24,33,共4页
Machine Building & Automation
基金
江苏省科技计划前瞻性联合研究项目(BY2016003-12)
南京航空航天大学研究生创新基地(实验室)开放基金(kfjj20170503)
关键词
机电产品
装配工时
工序工时
信息提取
electromechanical products
assembly time
operation man-hour
information extraction
