University of Twente Student Theses


ERP Systems and Process Mining

Budin, Batu (2023) ERP Systems and Process Mining.

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Abstract:Enterprises allocate investments with the anticipated Return On Investment (ROI) encompassing cost reduction, profit maximization, decision support, and fraud detection. In a competitive business environment, companies need to streamline and optimize their procurement processes. An ingredient for this kind of optimizations could be the use of information systems such as Enterprise Resource Planning (ERP) systems. Despite the prevalence of ERP systems in these organizations, many lack the proficiency to extract valuable insights from the processes. This process-centric nature aligns well with Process Mining techniques. This study is expected to contribute to the growing body of literature on the use of data-driven approaches in manufacturing organizations. To address this issue, this research aims to explore the correlation between ERP systems and process mining techniques. By conducting a systematic review of the literature, we will identify existing research on this topic and analyze the methods and results of previous studies and imply the findings on data collected from a company. The goal of this research paper is to provide insights into how ERP systems and process mining techniques can be integrated to improve organizational efficiency and decision-making. With the acknowledged constraints of time and the data quality issues that will be investigated using limited techniques as emphasized in this research paper, we plan to utilize conformance-checking techniques to identify irregularities. Subsequently, we aim to assign significance to each anomaly and initiate discussions with the company for further resolution
Item Type:Essay (Bachelor)
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science, 57 mining engineering
Programme:Computer Science BSc (56964)
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