Abstract
With the advent of Industry 4.0, increasing amounts of data on operational processes (e.g., manufacturing processes) become available. These processes can involve hundreds of different materials for a relatively small number of manufactured special-purpose machines rendering classical process discovery and analysis techniques infeasible. However, in contrast to most standard business processes, additional structural information is often available—for example, Bills of Materials (BOMs), listing the required materials, or Multi-level Manufacturing Bills of Materials (M2BOMs), which additionally show the material composition. This work investigates how structural information given by Multi-level Bills of Materials (M2BOMs) can be integrated into a top-down operational process analysis framework to improve special-purpose machine manufacturing processes. The approach is evaluated on industrial-scale printer assembly data provided by Heidelberger Druckmaschinen AG.
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CITATION STYLE
Brockhoff, T., Uysal, M. S., Terrier, I., Göhner, H., & van der Aalst, W. M. P. (2022). Analyzing Multi-level BOM-Structured Event Data. In Lecture Notes in Business Information Processing (Vol. 433 LNBIP, pp. 47–59). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-030-98581-3_4
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