Costa Diogo Silva, Mamede Henrique S, da Silva Miguel Mira
Instituto Superior Técnico, University of Lisbon, Avenida Rovisco Pais, 1, 1049-001, Lisboa, Portugal.
INESC TEC, Porto, Portugal.
Heliyon. 2023 Feb 14;9(3):e13683. doi: 10.1016/j.heliyon.2023.e13683. eCollection 2023 Mar.
Organizations are more frequently turning towards robotic process automation (RPA) as a solution for employees to focus on higher complexity and more valuable tasks while delegating routine, monotonous and rule-based tasks to their digital colleagues. These software robots can handle various rule-based, digital, repetitive tasks. However, currently available process identification methods must be qualified to select suitable automation processes accurately. Wrong process selection and failed attempts are often the origin of process automation's bad reputation within organizations and often result in the avoidance of this technology. As a result, in this research, a method for selecting processes for automation combining two multi-criteria decision-making techniques, 'Analytic Hierarchy Process (AHP) and Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS), will be proposed, demonstrated, and evaluated. This study follows the Design Science Research Methodology (DSRM) and applies the proposed method for selecting processes for automation to a real-life scenario. The result will be a method to support the proper selection of business processes for automation, increasing the success of implementing RPA tools in an organization.
组织越来越频繁地转向机器人流程自动化（RPA），以便员工能够专注于更高复杂性和更具价值的任务，同时将日常、单调和基于规则的任务交给他们的数字同事。这些软件机器人可以处理各种基于规则的、数字化的、重复性任务。然而，目前可用的流程识别方法必须经过验证，才能准确选择合适的自动化流程。错误的流程选择和失败的尝试往往是流程自动化在组织中声誉不佳的根源，并且常常导致对这项技术的回避。因此，在本研究中，将提出、演示并评估一种结合两种多标准决策技术——“层次分析法（AHP）”和“逼近理想解排序法（TOPSIS）”——来选择自动化流程的方法。本研究遵循设计科学研究方法（DSRM），并将所提出的自动化流程选择方法应用于实际场景。结果将是一种支持正确选择自动化业务流程的方法，提高组织中实施RPA工具的成功率。
