Automation of the M.A.T. data extraction process at ŠKODA AUTO a.s

This thesis deals with the automation of an internal process at ŠKODA AUTO a.s. The main objective is to map the whole process of evaluating error operations and implement robotic process automation (RPA) using the RPA tool Automation Anywhere and the programming language Python. Before describing the actual development, the thesis first describes the idea of the customer from the logistics department, followed by an initial analysis in which a model walk through of the whole process was performed. The outputs of this analysis are described and illustrated in a high-level diagram and a process flow iagram. Furthermore, the technical specifications for the individual robot components are presented and a business case is calculated. Since the estimate of time and theoretical financial savings is favorable, this RPA is approved for development, which is the focus of the next section of the paper. Finally, the benefits of this automation at ŠKODA AUTO a.s. are evaluated both from a financial point of view and with respect to other non-financial aspects of automation. The result of the work is a fully automated process of evaluating error operations, saving hundreds of hours of repetitive work per month and reducing the error rate of the process.