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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\u2014for example, Bills of Materials (BOMs), listing the required materials, or Multi-level Manufacturing Bills of Materials (M<jats:sup>2<\/jats:sup>BOMs), which additionally show the material composition. This work investigates how structural information given by Multi-level Bills of Materials (M<jats:sup>2<\/jats:sup>BOMs) 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 <jats:italic>Heidelberger Druckmaschinen AG<\/jats:italic>.<\/jats:p>","DOI":"10.1007\/978-3-030-98581-3_4","type":"book-chapter","created":{"date-parts":[[2022,3,23]],"date-time":"2022-03-23T18:03:23Z","timestamp":1648058603000},"page":"47-59","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["Analyzing Multi-level BOM-Structured Event Data"],"prefix":"10.1007","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-6593-9444","authenticated-orcid":false,"given":"Tobias","family":"Brockhoff","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1115-6601","authenticated-orcid":false,"given":"Merih Seran","family":"Uysal","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Isabelle","family":"Terrier","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Heiko","family":"G\u00f6hner","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0955-6940","authenticated-orcid":false,"given":"Wil M. P.","family":"van der Aalst","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2022,3,24]]},"reference":[{"key":"4_CR1","series-title":"Communications in Computer and Information Science","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1007\/978-3-030-83014-4_1","volume-title":"Data Management Technologies and Applications","author":"WMP van der Aalst","year":"2021","unstructured":"van der Aalst, W.M.P., Brockhoff, T., Ghahfarokhi, A.F., Pourbafrani, M., Uysal, M.S., van Zelst, S.J.: Removing operational friction using process mining: challenges provided by\u00a0the internet of production (IoP). In: Hammoudi, S., Quix, C., Bernardino, J. (eds.) DATA 2020. CCIS, vol. 1446, pp. 1\u201331. 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