基于关键路径的工作流瓶颈挖掘与优化
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  • 英文篇名:Workflow Bottleneck Mining and Optimization Based on Critical Path
  • 作者:杜明达 ; 林荣恒 ; 邹华
  • 英文作者:DU Ming-da;LIN Rong-heng;ZOU Hua;National Laboratory of Networking & Switching Technology,Beijing University of Posts and Telecommunications;
  • 关键词:工作流 ; 流程瓶颈 ; 流程分析 ; 流程优化 ; 关键路径
  • 英文关键词:w orkflow;;process bottleneck;;process analysis;;process optimization;;critical path
  • 中文刊名:XXWX
  • 英文刊名:Journal of Chinese Computer Systems
  • 机构:北京邮电大学网络与交换国家重点实验室;
  • 出版日期:2019-07-15
  • 出版单位:小型微型计算机系统
  • 年:2019
  • 期:v.40
  • 基金:北京市自然基金项目(L171010,417499)资助;; 通信网信息传输与分发技术重点实验室开放课题资助
  • 语种:中文;
  • 页:XXWX201907002
  • 页数:6
  • CN:07
  • ISSN:21-1106/TP
  • 分类号:10-15
摘要
工作流程在信息发达的今天被越来越广泛地应用于各个领域,我们在设计出符合预期要求的工作流程的同时也关注流程执行的效率.将流程分析与流程挖掘技术应用于工作流程中,通过对流程的执行日志进行分析和挖掘,检测流程的执行瓶颈,从而找到流程的优化方案,显得很有必要.本文提出基于关键路径的工作流瓶颈挖掘的方法,该方法通过对流程图的形式化表示及对流程执行日志的数据分析,给出了流程瓶颈的定义,将图论中经典的关键路径计算方法应用于流程瓶颈的计算.并以一个物流申请流程为例,验证了该方法的可行性,通过对该流程的瓶颈挖掘,进行针对性的优化,最终使流程整体执行效率提高了9. 8%.
        Workflows are being used more and more widely in various fields today with the development of information technology.We are concerned with the efficiency of process execution when we are designing workflows that are in line with expectations. It is necessary to analyze and mine the event log of the workflow to detect the execution bottleneck of the process and find out the optimization scheme of the process by applying process analysis and process mining techniques to the process. In this paper,we propose a method of workflow bottleneck mining based on critical path. By formalizing the workflow and analyzing the event logs of the workflow,we give out the definition of process bottleneck and apply the method of calculating critical path,which is classical in Graph Theory,to identify the bottleneck of a process. In the meanwhile,we take a materials applying process as example to validate the feasibility of the method. Finding the bottleneck of the process and carrying out targeted optimization,the overall process execution efficiency was improved by. 8%.
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