Abstract
Processes in manufacturing and logistics are characterized by a high frequency of changes and fluctuations, caused by the high number of participants in logistic processes. The heterogeneous landscape of data formats for information storage further complicates efforts to automatically extract process models from this data with the tools from Process Mining. This article introduces a concept for constantly updating process models in logistics, called Process Maintenance, collects requirements for a common view on information in logistics, and shows that Process Mining with logistic data is possible, but still needs improvement to become a regular practice.
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Becker, T., Lütjen, M., Porzel, R. (2017). Process Maintenance of Heterogeneous Logistic Systems—A Process Mining Approach. In: Freitag, M., Kotzab, H., Pannek, J. (eds) Dynamics in Logistics. Lecture Notes in Logistics. Springer, Cham. https://doi.org/10.1007/978-3-319-45117-6_7
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DOI: https://doi.org/10.1007/978-3-319-45117-6_7
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