中国机械工程 ›› 2010, Vol. 21 ›› Issue (9): 1046-1052.

• 机械基础工程 • 上一篇    下一篇

一种基于制造过程信息传播关系网的生产进度提取和跟踪方法

鄢萍1;王东强1;陈国荣1,2;刘飞1;赵静1
  

  1. 1.重庆大学机械传动国家重点实验室, 重庆,400044
    2.重庆科技学院, 重庆,401331
  • 出版日期:2010-05-10 发布日期:2010-05-19
  • 基金资助:
    国家863高技术研究发展计划资助项目(2007AA040701)
    National High-tech R&D Program of China (863 Program) (No. 2007AA040701)

A Production Schedule Obtaining Method Based on Information Spreading Relationship Network in Manufacturing Process

Yan Ping1;Wang Dongqiang1;Chen Guorong1,2;Liu Fei1;Zhao Jing1
  

  1. 1.State Key Laboratory of Mechanical Transmission in Chongqing University, Chongqing, 400030
    2.Chongqing University of Science and Technology, Chongqing, 401331
  • Online:2010-05-10 Published:2010-05-19
  • Supported by:
    National High-tech R&D Program of China (863 Program) (No. 2007AA040701)

摘要:

针对定制型企业生产进度提取和订单跟踪困难的问题,建立了一种基于复杂网络的制造系统网络模型——制造过程信息传播关系网(information spreading relationship network in manufactory process, ISRNMP),该网络由任务分派网、任务完成反馈网、纯粹信息传递网互联和交织而成。首先定义了一种描述ISRNMP节点之间关系的数据结构,用于描述任务分派网、任务完成反馈网、纯粹信息传递网的生成机制;其次定义了基于ISRNMP的任务完成率和任务完成不确定性来描述制造任务的完成情况;基于上述定义,给出了ISRNMP的演化算法,并在此基础上推导出了基于网络节点的生产进度的提取方法。实例证明该方法可有效地解决定制型企业从微观到宏观全过程的订单进度提取和跟踪困难的问题(即既能解决单个生产工人、工段的进度获取,又能解决整个生产系统的进度跟踪问题)。
 

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Abstract:

In order to resolve the problems of difficult to trace the order sheets and the extraction of manufacturing process in mass customization, a manufacturing network model based on complex network theories named ISRNMP was put forward, which was interconnected and interlaced by task assignment network, completion feedback network and information communication network. In order to study their building mechanism, a universal data structure including the relationship of nodes in manufacturing grid was defined, and the order completion rates were the synthesis of two factors-tasks completion rates and tasks uncertainties in the evolving proceed of the network model. The evolving algorithms such as the birth and the deleting process of the nodes were derived based on the definition and the mechanisms. So the production schedule computing methods arrived naturally. The applications prove that those production schedule computing methods can be used to solve the tracking of order sheets from microscopic to macroscopic in complex manufacturing system such as mass customization.

Key words: information spreading relationship network in manufactory process(ISRNMP), manufacturing schedule distilling, model of manufacturing network, evolving network

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