An Efficient Method For Selecting and Prioritizing Business Processes In Robotic Process Automation

Abstract

The use of robotic process automation (RPA) has been on the rise lately. However, more research needs to be done on the selection of the process and the factors affecting this choice. The key to the effectiveness of the outcome and the success of RPA hinge on selecting the appropriate processes and prioritizing them for automation. This study presents a novel method for selecting and prioritizing processes to enhance their efficiency within the organization. This approach enables us to prioritize processes for maximum automation advantage. It also identifies processes where RPA does not yield substantial advantages. The proposed approach was implemented in a real-world environment by conducting a case study at a logistics firm, demonstrating its benefits and increased efficiency. In addition, to validate the results, interviews with domain experts were conducted. During these interviews, the experts affirmed that the recommended approach successfully identified the most suitable processes and tasks for automation.