东北大学学报（自然科学版）

东北大学学报:自然科学版 ›› 2017, Vol. 38 ›› Issue (1): 111-115.DOI: 10.12068/j.issn.1005-3026.2017.01.023

• 机械工程 • 上一篇    下一篇

基于产品设计难度系数的设计时间估计方法

谷梦瑶1,2， 陈友玲1,2， 杜萱萱1,2   

  1. (1.重庆大学 机械工程学院， 重庆400044; 2.重庆大学 机械传动国家重点实验室， 重庆400044)
  • 收稿日期:2015-09-29 修回日期:2015-09-29 出版日期:2017-01-15 发布日期:2017-01-13
  • 通讯作者: 谷梦瑶
  • 作者简介:谷梦瑶(1990-)，女，河南漯河人，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).

Method for Determining Design Time Based on Difficulty Coefficient of Product Design

GU Meng-yao1,2， CHEN You-ling1,2， DU Xuan-xuan1,2   

  1. 1.School of Mechanical Engineering， Chongqing University， Chongqing 400044， China; 2.The State Key Laboratory of Mechanical Transmission， Chongqing University， Chongqing 400044， China.
  • Received:2015-09-29 Revised:2015-09-29 Online:2017-01-15 Published:2017-01-13
  • Contact: GU Meng-yao
  • About author:-
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摘要： 为了快速而准确地估算产品设计时间，研究了产品设计难度与设计时间之间的关系，提出了一种基于产品设计难度系数的设计时间估算方法.该方法通过分析产品设计难度表征方式，并结合熵值法和基于相关系数和标准差的专家权重确定方法建立产品设计难度系数模型.同时基于企业数据库和编码技术，运用Matlab确定产品设计难度系数与设计时间之间的关系函数，建立基于产品设计难度系数的设计时间估算模型.最后，通过范例和已有算法的对比证明了该方法的实用性和有效性.研究结果表明，该方法对设计时间预测具有较高的准确性和较好的实用性.

关键词: 设计时间, 难度系数, 产品设计, 熵值法, 专家权重确定法, Matlab

Abstract: Aiming at forecasting design time quickly and accurately， the relationship between product design difficulty and design time was researched， and a method based on the difficulty coefficient of product design was proposed. First of all， by analyzing the difficulty representation modes of product design and combining the entropy evaluation method and expert weights method based on the correlation coefficient and standard deviation，the difficulty coefficient model of product design was established. Meanwhile， based on the enterprise database and coding technology， the relationship function between difficulty coefficient and design time of product design was determined with Matlab， and then the design time estimation model based on the difficulty coefficient of product design was established. Finally， the proposed method was verified to be applicable and available by an example and comparative experiments with existing algorithms. The results showed that the proposed method has better practicability and accuracy for design time estimation.

Key words: design time, difficulty coefficient, product design, entropy evaluation method, expert weights determination method, Matlab

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