开发机器人流程自动化,有效整合长期业务流程管理

Nurgul Nalgozhina, Abdul Razaque, Uskenbayeva Raissa', Joon Yoo
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摘要

机器人流程自动化(RPA)是一种流行的流程自动化技术,它在使用图形用户界面时利用软件发挥人类的功能。RPA 的应用范围有限,必须满足各种要求才能有效应用。另一方面,业务流程管理(BPM)是一个成熟的研究领域,可以为 RPA 的发展提供有利条件。我们提供了一种将 RPA 与 BPM(RPABPM)相结合的有效技术,以同步技术实现高效的自动化业务流程。问题制定过程是为了削减与管理相关的开支。建议的 RPABPM 策略包括五个阶段(设计、建模、执行、监控和优化),以实现最佳业务自动化和节能。通过采用端到端流程,证明了有效的业务流程管理。此外,还通过三项实证调查得出结论,以评估所建议的 RPABPM 方法的实用性和精确性。初步研究的第一个目标是确认所采用方法的实用性和精确性,以评估 RPA 与 BPM 的接受度、可能性、重要性和整合。第二项研究试图验证该方法的高质量特征。第三项研究试图评估该方法在分析和识别最适合 RPA 的 BPM 方面的有效性。建议的 RPABPM 在 ABB 制造的六轴 IRB140 工业机器人上进行了验证,该机器人由基于 Windows CE 的 Flex Pendant(示教器)提供支持。IRC5 控制器用于运行 RobotWare 5.13.10371。使用预装的 .NET Compact Framework 3.5。最后,从效率和功耗的角度对所提出的方法与最先进的方法进行了比较。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Developing Robotic Process Automation to Efficiently Integrate Long-Term Business Process Management
Robotic process automation (RPA) is a popular process automation technology that leverages software to play the function of humans when employing graphical user interfaces. RPA’s scope is limited, and various requirements must be met for it to be applied efficiently. Business process management (BPM), on the other hand, is a well-established area of research that may provide favorable conditions for RPA to thrive. We provide an efficient technique for merging RPA with BPM (RPABPM) to synchronize the technology for efficient automated business processes. The problem formulation process is carried out to cut management-related expenditures. The proposed RPABPM strategy includes the five stages (design, modeling, execution, monitoring, and optimization) for optimal business automation and energy savings. Effective business process management is proved by employing an end-to-end process. Furthermore, findings have been obtained employing three empirical investigations that are performed to assess the practicality and precision of the proposed RPABPM approach. The first objective of the initial study is to confirm the practicality and precision of the approach employed to evaluate the acceptance, possibility, significance, and integration of RPA with BPM. The second study attempts to verify the method’s high-quality characteristics. The third study attempts to assess the approach’s effectiveness in analyzing and identifying BPM that are best suited for RPA. The proposed RPABPM is validated on the industrial robot manufactured by ABB with six-axis IRB140 and supported with a Windows CE-based Flex Pendant (teach pendant). An IRC5 controller is used to run RobotWare 5.13.10371. A pre-installed .NET Compact Framework 3.5 is used. Finally, the proposed method is compared with state-of-the-art methods from an efficiency and power consumption perspective.
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