基于零件加工难度系数的工时估算

针对当前生产环境下订单随机和产品种类多,工时确定困难等特点,为了能够准确高效地获得产品加工时间,研究了加工时间与加工难度系数之间的关系,提出了基于零件加工难度系数的一种工时估算方法.通过分析影响零件加工时间的关键因素,建立零件加工难度评价指标,运用熵值法和群决策理论综合考虑各种因素,构建零件加工难度系数模型.根据已有零件工时信息,运用MATLAB曲线拟合工具箱确定零件加工难度系数和工时之间函数关系.最后,通过实例验证了该方法的准确性和高效性.

Labor Hour Estimation Based on the Difficulty Coefficient of Parts Processed

According to random order and many kinds of product, it is difficult to get labor hour in the current production environment, the relationship between the difficulty coefficient of parts processed and labor hour was researched. To quickly and accurately determine the labor hour, a method based on the difficulty coefficient of parts processed was presented. Considering the key factors affecting parts processing time, an evaluation index system for the process difficulty was built. In the model, the entropy value method and group decision theory were introduced to analyze the influencing factors of difficulty coefficient comprehensively. Based on historical data of time-quota, the correlative function of the process difficulty coefficient and time-quota was built using the MATLAB. The method was verified to be accuracy and efficiency by experiment.