The optimisation of processes in terms of business process management is already established in organisations today – regardless of industry or size. Technological developments and the need to be able to react ever more quicky to changes have also brought changes in this area. process mining, as an extension to the traditional process management has slowly but surely found its way into practice as a new discipline through the analysis of ITsupported data. In contrast, the idea of supply chain management is not new, however has become increasingly important in recent years. Not only the internal processes of an organisation are considered, but also cross-organisational processes, taking into account external partners such as suppliers and customers. This thesis deals with the combination of these two disciplines and focuses on the areas of application, opportunities and challenges as well as the prerequisites. Through qualitative literature research using the SQ3R method to analyse the relevant literature, precisely these aspects are examined in detail. In order to provide an insight into practice, specific case studies are examined and summarised alongside academic sources with regards to these questions. Research into process mining in the supply chain management context has shown that the method can be used in principle in all areas along the entire supply chain, although holistic implementation is still rare in practice. Looking at the possibilities and challenges, more specific statements can already be made. The possibility of making processes more transparent in order to be able to identify potential for improvement more easily and implement corresponding optimisations is at the forefront of both the objectives and the possibilities. In contrast, aspects such as a lack of data quality or the complexity of the data and processes are among the challenges in Process Mining. Once an organisation has found a way to deal with the challenges, it is important to ensure cooperation between the operational process experts and IT in order to guarantee successful implementation. Furthermore, management should be involved in good time, as implementation can be problematic without their support. Aspects of change management should also not be ignored in order to successfully and sustainably establish process mining in the organisation.
Date of Award | 2024 |
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Original language | German (Austria) |
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Supervisor | Mátyás Gritsch (Supervisor) |
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Process Mining im Supply Chain Management Kontext
Peer, I. (Author). 2024
Student thesis: Master's Thesis