{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,18]],"date-time":"2026-01-18T20:58:30Z","timestamp":1768769910479,"version":"3.49.0"},"reference-count":12,"publisher":"Walter de Gruyter GmbH","issue":"3","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2018,7,1]]},"abstract":"<jats:title>Abstract<\/jats:title>\n               <jats:p>The advent of Industry 4.0 is expected to dramatically change the manufacturing industry as we know it today. Highly standardized, rigid manufacturing processes need to become self-organizing and decentralized. This flexibility leads to new challenges to the management of smart factories in general and production planning and control in particular. In this contribution, we illustrate how established techniques from Business Process Management (BPM) hold great potential to conquer challenges in Industry 4.0. Therefore, we show three application cases based on the DFKI-Smart-Lego-Factory, a fully automated \u201csmart factory\u201d built out of LEGO<jats:sup>\u00ae<\/jats:sup> bricks, which demonstrates the potentials of BPM methodology for Industry 4.0 in an innovative, yet easily accessible way. For each application case (model-based management, process mining, prediction of manufacturing processes) in a smart factory, we describe the specific challenges of Industry 4.0, how BPM can be used to address these challenges, and, their realization within the DFKI-Smart-Lego-Factory.<\/jats:p>","DOI":"10.1515\/itit-2018-0006","type":"journal-article","created":{"date-parts":[[2018,7,13]],"date-time":"2018-07-13T18:54:43Z","timestamp":1531508083000},"page":"133-141","source":"Crossref","is-referenced-by-count":12,"title":["Business process management for Industry 4.0 \u2013 Three application cases in the DFKI-Smart-Lego-Factory"],"prefix":"10.1515","volume":"60","author":[{"given":"Jana-Rebecca","family":"Rehse","sequence":"first","affiliation":[{"name":"Institute for Information Systems , German Research Center for Artificial Intelligence (DFKI) , Stuhlsatzenhausweg 3 , Geb. D3 2 , 66123 , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sharam","family":"Dadashnia","sequence":"additional","affiliation":[{"name":"Institute for Information Systems , German Research Center for Artificial Intelligence (DFKI) , Stuhlsatzenhausweg 3 , Geb. D3 2 , 66123 , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Peter","family":"Fettke","sequence":"additional","affiliation":[{"name":"Institute for Information Systems , German Research Center for Artificial Intelligence (DFKI) , Stuhlsatzenhausweg 3 , Geb. D3 2 , 66123 , Saarbr\u00fccken , Germany"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"374","published-online":{"date-parts":[[2018,6,28]]},"reference":[{"key":"2023033119475539084_j_itit-2018-0006_ref_001_w2aab3b7c52b1b6b1ab2ab1Aa","doi-asserted-by":"crossref","unstructured":"W.\u2009M. van der Aalst, Process mining: data science in action, 2, Springer, 2016.","DOI":"10.1007\/978-3-662-49851-4"},{"key":"2023033119475539084_j_itit-2018-0006_ref_002_w2aab3b7c52b1b6b1ab2ab2Aa","unstructured":"Joerg Evermann, Jana-Rebecca Rehse and Peter Fettke, A Deep Learning Approach for Predicting Process Behaviour at Runtime, in: Proceedings of the 1st International Workshop on Runtime Analysis of Process-Aware Information Systems. 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World Computer Congress (WCC-2010), September 20\u201323, Brisbane, Australia, (Marijn Janssen, Winfried Lamersdorf, Jan Pries-Heje and Michael Rosemann, eds), 334, pp.\u2009237\u2013248, Springer, Berlin, 2010."},{"key":"2023033119475539084_j_itit-2018-0006_ref_007_w2aab3b7c52b1b6b1ab2ab7Aa","unstructured":"Christian Janiesch, Agnes Koschmider, Massimo Mecella, Barbara Weber, Andrea Burattin, Claudio Di Ciccio andet al., The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges, CoRR, arXiv:1709.03628 (2017)."},{"key":"2023033119475539084_j_itit-2018-0006_ref_008_w2aab3b7c52b1b6b1ab2ab8Aa","doi-asserted-by":"crossref","unstructured":"Heiner Lasi, Peter Fettke, Hans-Georg Kemper, Thomas Feld and Michael Hoffmann, Industry 4.0, Business & Information Systems Engineering 6 (2014), 239\u2013242.","DOI":"10.1007\/s12599-014-0334-4"},{"key":"2023033119475539084_j_itit-2018-0006_ref_009_w2aab3b7c52b1b6b1ab2ab9Aa","doi-asserted-by":"crossref","unstructured":"Jana-Rebecca Rehse, Peter Fettke and Peter Loos, A graph-theoretic method for the inductive development of reference process models, Software & Systems Modeling 16 (2017), 833\u2013873.","DOI":"10.1007\/s10270-015-0490-0"},{"key":"2023033119475539084_j_itit-2018-0006_ref_010_w2aab3b7c52b1b6b1ab2ac10Aa","unstructured":"August-Wilhelm Scheer, ARIS - Business Process Modeling, 3ed, Springer, Berlin et\u2009al., 2000."},{"key":"2023033119475539084_j_itit-2018-0006_ref_011_w2aab3b7c52b1b6b1ab2ac11Aa","doi-asserted-by":"crossref","unstructured":"Konsta Mikael Sirvio, Intelligent Systems in Maintenance Planning and Management, pp.\u2009221\u2013245, Springer International Publishing, Cham, 2015.","DOI":"10.1007\/978-3-319-17906-3_10"},{"key":"2023033119475539084_j_itit-2018-0006_ref_012_w2aab3b7c52b1b6b1ab2ac12Aa","unstructured":"Verband Deutscher Maschinen- und Anlagenbauer (VDMA) - Forum Industrie 4.0: Leitfaden Industrie 4.0. 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