Robotic Process Automation - Automating Humans back into Aviation: An airline case study

Data is everything nowadays. Data is generated more and more and drives the way organisations operate. Data is generated throughout the organisation and then processed into systems. Most of the times the data is processed by interfaces, without any intervention. However, not all data processing and data handling actions can be performed by interfaces and thus require human intervention. Due to the high amounts and continuous stream of data, these manual processing tasks are often repetitive, boring and time-consuming. Furthermore, organisations usually waste valuable man-hours of their engineers, because of a lack of other resources. Robotic Process Automation (RPA) is a non-disruptive technology that is transforming the way tasks are handled across many industries. 

RPA allows software robots to mimic actions that human users of M&E/MRO software would normally perform, however is able to perform this faster and without the existence of potential human error. As such RPA has a huge potential in supporting airline Airworthiness Management and Maintenance departments in freeing up their staff to focus on the things that really matter rather than performing dull and repetitive tasks. More than a year ago, EXSYN and Vueling started their collaboration on RPA and since then a software robot has been creating all overnight maintenance work packages for Vueling’s entire fleet of 100+ aircraft.

During this year's Airline & Aerospace MRO & Flight Operations IT Conference in Amsterdam, EXSYN together with its partner airline Vueling presented the various aspects of Robotic Process Automation, the methodology on how airlines can start themselves with applying RPA and showed how RPA has helped Vueling in their day-to-day business.

You can also download the white paper about RPA for more in-depth information: 

  • The challenges and benefits of RPA

  • Aviation Regulations & RPA

  • How to get started

  • Dealing with resistance to RPA

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Predictive Maintenance: From Reporting to Data-Driven Airline