J4 ›› 2009, Vol. 27 ›› Issue (05): 539-.

• 论文 • 上一篇    下一篇

快速工艺准备信息建模技术研究

吕 津|宋林森|董元芳   

  1. 长春理工大学 经济管理学院|长春130022
  • 出版日期:2009-09-20 发布日期:2009-11-03
  • 通讯作者: 吕津(1957— ),女,山东黄县人, 长春理工大学教授,硕士生导师,主要从事管理科学与工程研究 E-mail:lvjin713@163.com
  • 作者简介:吕津(1957— )|女|山东黄县人| 长春理工大学教授|硕士生导师|主要从事管理科学与工程研究|(Tel)86-13134306666(E-mail)lvjin713@163.com
  • 基金资助:

    国防预研支撑基金资助项目(6230110717)

Research on Rapid Process Preparation
Information Modeling

LU Jin|SONG Lin-sen|DONG Yuan-fang   

  1. (School of Economics and Management,Changchun University of Science and Technology,Changchun 130022,China)
  • Online:2009-09-20 Published:2009-11-03

摘要:

针对制造业普遍存在的工艺水平不高、产品研制周期过长等问题,根据企业的实际情况,建立了适应企业的由界面层、核心层和数据库层构成的快速工艺准备系统体系结构。在此基础上,利用分区排序算法和模糊智能查询算法建立了针对零件的快速工艺准备信息模型,通过应用分区排序算法和模糊智能查询算法,对工艺准备中的工艺规划进行排序,选择最优工艺路线,使零件的特征信息达到快速排序。

关键词: 快速工艺准备, 信息模型, 分区排序算法, 模糊智能查询算法

Abstract:

 According to the actual circumstance and problems of low technological level and long product development cycle that exist in manufacturing enterprises, the rapid process preparation system structure which includes interface level, core level and database level was established. The rapid process preparation information modeling was established by using district sorting algorithm and fuzzy intelligent query algorithm, the process configuration sorting sequence could be made and the optimized process route could be chosen through these algorithms,the sorting sequence of characteristic information of parts could be done quickly.

Key words: rapid process preparation, information model, district sorting algorithm, fuzzy intelligent query algorithm

中图分类号: 

  • TP39