• 论文 •    

基于工作流挖掘的质量管理过程改进研究

陈  亮,高建民,陈富民,陈  琨,李  成   

  1. 西安交通大学 CIMS研究所制造系统工程国家重点实验室,陕西  西安  710049
  • 收稿日期:2005-06-09 修回日期:2005-10-09 出版日期:2006-04-15 发布日期:2006-04-25
  • 基金资助:
    国家863/CIMS主题资助项目(2002AA413016);国防科工委资助项目。

Research on Quality management process improvement based on workflow mining technology

CHEN Liang, GAO Jian-min, CHEN Fu-min, CHEN Kun, LI Cheng   

  1. State Key Lab of Manufacturing System Eng. of CIMS Inst., Xian Jiaotong Univ., Xian  710049, China
  • Received:2005-06-09 Revised:2005-10-09 Online:2006-04-15 Published:2006-04-25
  • Supported by:
    Project supported by the National High-Tech.R &D Program for CIMS,China(No.2002AA413016)and the Basic Research Foundation of Commission of S&T and Industry for National Defense,China.

摘要: 为满足质量管理体系持续改进的要求,提出了基于工作流过程挖掘的质量管理过程改进方案。该方案包括过程日志预处理、过程活动控制图重构和活动转移条件生成3步,其中过程活动控制图的重构是核心。设计了一种启发式算法,以时间段建模活动的执行过程,将两活动执行时间段关系划分为不相交、部分相交和包含3种,并在此基础上设计启发式规则,搜索过程日志中蕴含的活动前序关系,解决了包含复杂的策划-实施-检查-处置循环结构的质量管理过程控制图的重构问题。最后,以质量外审意见处理流程的改进为例,对算法进行了说明和分析。

关键词: 质量管理过程, 过程改进, 工作流, 过程挖掘

Abstract: To satisfy improvement requirements for quality management system, an idea based on workflow-mining technology to support quality management process improvement was presented. This process was divided into three steps, workflow log preprocessing, process activity-control graph reconfiguration and generation of activity transfer conditions. Among them, process activity-control graph reconfiguration was the core step. By modeling the activity execution as an interval, the relationship between two activities execution durations could be categorized into three kinds, as disjoint, overlapped and contained, and a heuristic algorithm was designed based on this relationship to search activities sequential relationships contained in workflow log, so that the quality management process model comprising complicated Plan-Do-Check-Action(PDCA)loop structures was reconstructed. Finally, process improvement of external audit reports treatment was used as a case study to illustrate the proposed approach and its performance.

Key words: quality management process, process improvement, workflow, process model mining

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