Abstract: Time quota is an important reference to determine product delivery time and improve customer satisfaction in mass customization environment. A method of man-hour quota for parts based on manufacture feature in mass customization environment is proposed, to better support the development of time quota for mass customization enterprise. In this method, manufacture features in the same part cluster are classified and encoded on the base of object oriented method, to create an information model of manufacture feature and retrieve manufacture feature easily. Working time model of every manufacture feature at the bottom levels of the coding system is built through neural network technique and MATLAB software. The working time model of each manufacture feature of a new part is retrieved according to the coding system, time quota of each manufacture feature is achieved and time quota of the new part is estimated. The accuracy and feasibility of this method are verified by comparison with traditional man-hour quota method.

Key words: time-quota, mass customization, manufacture feature, neural network

摘要： 工时定额是大规模定制生产模式下企业确定产品交货期和提高顾客满意度的重要参考依据。为更好地支持大规模定制生产的企业工时定额的制定，提出一种大规模定制环境下基于加工特征的零件工时定额的制定方法。在此方法中，运用面向对象方法将零件组内的加工特征进行分类、编码，建立加工特征信息模型，以便于零件加工特征的检索；采用神经网络技术，结合MATLAB软件针对编码系统中每一个最底层的加工特征建立对应的工时模型；根据零件加工特征的编码检索各个加工特征的工时模型，估算每个加工特征的加工工时，从而得到整个零件的工时定额。通过与传统的工时定额方法对比，验证了该方法的准确性和快速性。

关键词: 工时定额, 大规模定制, 加工特征, 神经网络