东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2016, Vol. 37 ›› Issue (7): 998-1002.DOI: 10.12068/j.issn.1005-3026.2016.07.019

• 机械工程 • 上一篇    下一篇

基于零件加工难度系数的工时估算

杨续昌1,2， 陈友玲1   

  1. (1. 重庆大学 机械工程学院， 重庆400044; 2. 石河子大学 机械电气工程学院， 新疆 石河子832000)
  • 收稿日期:2014-12-01 修回日期:2014-12-01 出版日期:2016-07-15 发布日期:2016-07-13
  • 通讯作者: 杨续昌
  • 作者简介:杨续昌(1982-)，男，安徽太和人，重庆大学博士研究生； 陈友玲(1964-)，女，重庆人，重庆大学教授，博士生导师.
  • 基金资助:
    国家自然科学基金资助项目(71271224).

Labor Hour Estimation Based on the Difficulty Coefficient of Parts Processed

YANG Xu-chang1,2， CHEN You-ling1   

  1. 1.School of Mechanical Engineering， Chongqing University， Chongqing 400044， China; 2. School of Mechanical and Electrical Engineering， Shihezi University， Shihezi 832000， China.
  • Received:2014-12-01 Revised:2014-12-01 Online:2016-07-15 Published:2016-07-13
  • Contact: CHEN You-ling
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摘要： 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.

关键词: 加工难度系数, 工时估算, MATLAB, 评价指标, 熵值法

Abstract: 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.

Key words: difficulty coefficient of process, labor hour estimation, MATLAB, evaluation index, entropy value method

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