计算机集成制造系统 ›› 2017, Vol. 23 ›› Issue (第4期): 726-736.DOI: 10.13196/j.cims.2017.04.007

• 产品创新开发技术 • 上一篇    下一篇

基于知识流的设计更改执行阶段过程改进

王岩,王美清+   

  1. 北京航空航天大学机械工程及自动化学院
  • 出版日期:2017-04-30 发布日期:2017-04-30
  • 基金资助:
    国防技术基础研究资助项目(JSZL2014204A002);国防基础科研资助项目(JCKY2016209B001)。

Knowledge-flow-based process improvement in design change execution

  • Online:2017-04-30 Published:2017-04-30
  • Supported by:
    Project supported by the National Defense Technical Fundamental Research Foundation,China(No.JSZL2014204A002),and the Defense Industrial Technology Development Program,China(No.JCKY2016209B001).

摘要: 针对设计更改执行阶段效率的问题,从知识传递角度分析了设计更改执行过程中的知识流动机制,结合设计更改执行过程活动的离散并行性、逻辑时序性以及知识显/隐性转化特点,提出了基于改进时序Petri网的设计更改执行过程知识流建模方法和面向知识流分析的知识活动解构方法,建立了设计更改执行过程改进模型。提出了基于KFO-TPN模型的设计更改执行过程关键路径识别算法,以及基于语义信息增益和结构信息增益的设计更改过程知识流动合理性分析方法。以某研制型企业中设计更改单在车间内执行阶段的过程改进为例验证了所提方法的有效性。

关键词: 知识流, 设计更改执行, 过程改进, 信息增益, 时序Petri网

Abstract: To improve the process efficiency of design change execution,the knowledge flow in the process of design change execution was researched by analyzing the transferring mechanism of knowledge.According to the discreteness,parallelism and temporality of activities in design change execution and the characteristic of knowledge which transformed its status between tacit and explicit,the timed Petri net model was adjusted.After the adjustment,a knowledge flow oriented process modeling method for design change execution named Knowledge Flow Oriented Timed Petri Nets (KFO-TPN) and a knowledge activity decomposition method for knowledge analysis were proposed.A process improvement model for design change execution was established.A key path recognition algorithm based on KFO-TPN model and a knowledge flow rationality analysis method based on semantic information gain and format information gain were proposed.The effectiveness of proposed methods was verified by taking the process improvement instance of design change execution within workshops of a research and development enterprise.

Key words: knowledge flow, design change execution, process improvement, information gain, timed Petri nets

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