Towards business use cases of process mining in product development and manufacturing: Deriving and classifying 18 application scenarios in industry

• Published in: Procedia CIRP Vol. 128; pp. 268 - 273
• Main Authors: Brock, Jonathan, Enzberg, Sebastian von, Kühn, Arno, Dumitrescu, Roman
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 2024
• Subjects: business use case; manufacturing; organisation; process mining; product development; manufacturing; organisation; process mining; business use case; product development
• ISSN: 2212-8271; 2212-8271
• DOI: 10.1016/j.procir.2024.06.022

Process mining (PM) allows organizations to analyse their business processes based on data. This data is readily available in IT-systems, such es Enterprise Resource Planning (ERP) or Product Lifecycle Management (PLM). However, a wide variety of analysis techniques in PM lower the clarity for organizations how to exactly utilize PM within their product development or manufacturing processes. In this paper, we identify 18 application scenarios for PM in product development and manufacturing in collaboration with two real world companies. Each application scenario is classified based on standard criteria from literature, such as business benefits, analysis techniques or improvement possibility. We opt to use the term application scenario instead of use case, because we find that the term PM use case is not uniformly defined in literature. Hence, we propose a framework that relates the proposed application scenarios to the existing body of knowledge. From a managerial perspective, we provide organizations with the possibility to gain new ideas for utilizing PM within their product development or manufacturing. From a scientific perspective, we demonstrate the need for more sophisticated use case structures and characterization elements, especially for more complex domains like product development and manufacturing.