Compliance Checking of Shipment Request by Utilizing Process Mining Concepts: An Evaluation of Smart Auditing Framework

F. Bukhsh, H. Weigand
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引用次数: 6

Abstract

Risk regulations and compliance management require business controls automation. Business processes execution yield event logs and analysis of these logs can produce valuable knowledge for organizational product and/or service improvements. In this paper we have explored a monitoring scenario of shipment request and evaluated it on the basis of Smart auditing framework. A combination of process mining techniques and business process ontologies is evaluated on simulated data in order to identify the auditing/monitoring capability of PROM plug-in’s. The initial evaluation revealed that rule based audit is successful on machine-crafted data in PROM tool. Moreover, this paper also highlights lack of automated rule translation in LTL-checker (PROM plug-in) for smart audit frameworks evaluations.
利用流程挖掘概念对装运请求进行合规性检查:对智能审计框架的评估
风险法规和遵从性管理要求业务控制自动化。业务流程执行产生事件日志,对这些日志的分析可以为组织产品和/或服务改进产生有价值的知识。在本文中,我们探索了发货请求的监控场景,并基于智能审计框架对其进行了评估。在模拟数据上评估流程挖掘技术和业务流程本体的组合,以便确定PROM插件的审计/监视功能。初步评估表明,基于规则的审计对PROM工具中的机器生成数据是成功的。此外,本文还强调了用于智能审计框架评估的ltl检查器(PROM插件)中缺乏自动规则翻译。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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