基于模糊推理技术的改进工时定额方法

Improved Method for Determining Time-quota Based on Fuzzy Inference Technology

为解决工时定额问题,综合零件加工难度、工艺属性复杂度和综合要素关联度三个维度,提出一种基于模糊推理技术的改进工时定额方法。利用零件材料属性、精度等级、几何特征等参数来表征零件的加工难度;通过分析生产资料数量、生产过程稳定性与可操作性等方面,引入难度系数来评价工艺属性的复杂度;在此基础上综合考虑人为、场地、员工积极性等因素,使用信息熵来衡量综合要素关联度。通过多维度的零件工时指标的计算,借助模糊推理技术建立工时预测模型,分析推理结果的合理性,提出基于XGBoost的误差补偿方法。对某制造企业进行案例分析,工时误差率控制在2%以内,结果表明该方法可提高工时定额工作的质量和效率。

In order to solve the problem of time-quota,integrating the three dimensions of part processing difficulty,process attribute complexity and comprehensive factor relevance,an improved method of time-quota based on fuzzy inference technology is proposed.Use part material properties,accuracy grades,geometric characteristics and other parameters to characterize the processing difficulty of parts;analyze the quantity of production materials,the stability and operability of the production process,and introduce the difficulty coefficient to evaluate the complexity of the process attributes;on this basis the above comprehensively considers factors such as human,site,and employee enthusiasm,and uses information entropy to measure the degree of relevance of comprehensive elements.Through the calculation of multi-dimensional parts man-hour indicators,a man-hour prediction model is established with the help of fuzzy inference technology,the rationality of the reasoning results is analyzed,and an error compensation method based on XGBoost is proposed.A case study of a manufacturing enterprise shows that the error rate of working hours is controlled within 2%,and the results show that this method can improve the quality and efficiency of the fixed working hours.