基于专业能力评价模型的业务流程角色协同调优算法  

Business process role collaborative tuning algorithm based on professional ability evaluation model

作　　者：肖宗水[1,2] 潘凤薇 张宝晨 钱进 孔兰菊[1] XIAO Zongshui;PAN Fengwei;ZHANG Baochen;QIAN Jin;KONG Lanju(College of Software,Shandong University,Jinan 250101,China;Dareway Software Co.,Ltd.,Jinan 250100,China)

机构地区：[1]山东大学软件学院,山东济南250101 [2]山大地纬软件股份有限公司,山东济南250100

出　　处：《计算机集成制造系统》2020年第6期1465-1472,共8页Computer Integrated Manufacturing Systems

基　　金：国家自然科学基金资助项目(61772316);山东省科技发展计划资助项目(2016GGX101008,2017CXGC0702);山东省自主创新成果转化重大专项资助项目(2016ZDJS01A09);山东省泰山产业领军人才工程专项经费资助项目。

摘　　要：为解决业务流程协同模式中存在的角色能力、权限与职责不匹配的问题,综合考虑角色能力与角色权限,设计了基于角色专业能力评价模型的协同调优算法。首先基于业务流程的数据库操作日志,建立了时间序列模型检测异常业务流程,提出基于元路径的环路挖掘算法(MPLMA),从而挖掘业务流程中由协同导致的重复工作;以数据库的操作和流程日志为基础,建立专业能力评价模型,量化评价角色能力;将专业能力评价模型与权限判定方法相结合,优化角色协同模式。实验结果表明,所提基于元路径的环路挖掘算法能够高效率地挖掘出协同实例,所提出的角色协同调优算法能够精确、合理地指导协同模式的优化。To solve the problem of mismatch between role allocation,authority and ability in business process collaboration,a role collaborative tuning algorithm by combining professional ability evaluation model and role authority was proposed.Based on the business process log,a time series prediction model was constructed to detect the inefficient process instances.Moreover,a loop mining algorithm named Meta Path-based Loop Mining Algorithm(MPLMA)was constructed to mining roles collaboration pattern.Based on the business process log,a professional ability evaluation model was built to compute the role s ability.Combining professional competence evaluation model with authority judgment method,the role collaboration mode was optimized.The experimental results showed that the proposed MPLMA could effectively mine collaborative instances,and the proposed role collaborative optimization algorithm could accurately and reasonably guide the optimization of collaborative patterns.

关 键 词：业务流程 时间序列 元路径 角色权限 可支配资源 

分 类 号：TP309[自动化与计算机技术—计算机系统结构]