View Proposal

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Proposer

Cristina Turcanu

Title

Process Mining and RPA: benefits and challenges in the Industry 4.0

Goal

Description

A comparative study of Process Mining and RPA, highlight the benefits of putting them together, as well as the key differences between these two. Provide an overview of the context and end-to-end viewpoint to enhance processes and ensure the successful delivery of automation-driven outcomes. Research how process mining helps identify the most suitable processes for RPA The project should contain some use cases.

Resources

A Process Mining tool (e.g. Celonis offers free Academic Alliance for Heriot-Watt students: https://www.celonis.com/acal-students/). An RPA tool (e.g. UiPath with the Academic Alliance software version for Heriot-Watt students: To download your free copy of the UiPath Studio software, open the URL: https://www.uipath.com/landing/academic-studio-download. It is a private form designated only for the students and educators who are affiliated to the UiPath Academic Alliance & UiPath Learning Partner institutions). UiPath Process Mining: Use continuous process monitoring and optimization to propel #RPA: https://www.youtube.com/watch?v=476czZcxrQE

Background

Url

Difficulty Level

Variable

Ethical Approval

None

Number Of Students

2

Supervisor

Cristina Turcanu

Keywords

robotic process automation, rpa, process mining

Degrees

Bachelor of Science in Computer Science
Bachelor of Science in Computer Systems
Bachelor of Science in Information Systems
Bachelor of Science in Software Development for Business (GA)
Bachelor of Science in Computing Science