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Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory
8 references·3 citing·40 second hop
Business process management for Industry 4.0 – Three application cases in the DFKI-Smart-Lego-Factory (2018)Business process management for Industry …The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges (2017)The Internet-of-Things Meets …Predicting process behaviour using deep learning (2017)Predicting process behaviour …A Deep Learning Approach for Predicting Process Behaviour at Runtime (2017)A Deep Learning Approach for …Process Mining: Data Science in Action (2016)Process Mining: Data Science …Process Mining (2016)Process MiningA graph-theoretic method for the inductive development of reference process models (2015)A graph-theoretic method for …Empirical research in business process management – analysis of an emerging field of research (2010)Empirical research in busines…ARIS — Business Process Modeling (1999)ARIS — Business Process Model…Modeling 4.0: Conceptual Modeling in a Digital Era (2023)Modeling 4.0: Conceptual Mode…The effects of industry 4.0 technologies on relational performance: the mediating role of supply chain emergence in the transitive logistics service triads (2022)The effects of industry 4.0 t…Development of a Modeling Architecture Incorporating the Industry 4.0 View for a Company in the Gas Sector (2019)Development of a Modeling Arc…Design science in information systems research (2004)Design Science in Information Systems Research1 (2004)A Design Science Research Methodology for Information Systems Research (2007)Semi-automatic inductive construction of reference process models that represent best practices in public administrations: A method (2019)Team communication processing and process analytics for supporting robot-assisted emergency response (2019)A Typology of Business Process Standardization Strategies (2021)Competitive Advantage: Creating and Sustaining Superior Performance (1985)The Knowledge-creating company: How Japanese companies create the dynamics of innovation (1997)Increasing process orientation with business process management: Critical practices’ (2012)Assessing the maturity of a research area: bibliometric review and proposed framework (2016)The effect of digital technologies adoption in healthcare industry: a case based analysis (2018)Flexible Heuristics Miner (FHM) (2011)Replaying history on process models for conformance checking and performance analysis (2012)Decision support from financial disclosures with deep neural networks and transfer learning (2017)Learning Accurate LSTM Models of Business Processes (2019)Business Process Intelligence (2003)Time prediction based on process mining (2010)Predictive Monitoring of Business Processes (2014)BINet: Multi-perspective business process anomaly classification (2019)Product backorder prediction using deep neural network on imbalanced data (2021)Deep Learning for Predictive Business Process Monitoring: Review and Benchmark (2023)Process modeling for industry 4.0 applications: Towards an industry 4.0 process modeling language and method (2016)Business strategy modelling based on enterprise architecture: a state of the art review (2018)Exploring Industry 4.0 technologies to enable circular economy practices in a manufacturing context (2018)Evaluating Structural Equation Models with Unobservable Variables and Measurement Error (1981)Structural equation modeling in practice: A review and recommended two-step approach. (1988)A new criterion for assessing discriminant validity in variance-based structural equation modeling (2014)A model of the enterprise supply chain risk propagation based on partially mapping two-layer complex networks (2023)Sustainable Supply Chain Management and Performance Outcomes: Supply Chain Practice View and Mediated Moderation Perspectives (2025)What is ERP? (2000)A configurable reference modelling language (2005)Seven process modeling guidelines (7PMG) (2009)Process mining techniques and applications – A systematic mapping study (2019)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)Process mining for healthcare: Characteristics and challenges (2022)A Taxonomy for Combining Activity Recognition and Process Discovery in Industrial Environments (2018)IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution (2020)Modeling of IoT devices in Business Processes: A Systematic Mapping Study (2020)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Outcome-Oriented Predictive Process Monitoring (2019)
this work references cited by second hop

References

  • 2016Process Mining2,166 cited
  • 2016Process Mining: Data Science in Action866 cited
  • 1999ARIS — Business Process Modeling792 cited
  • 2017Predicting process behaviour using deep learning430 cited
  • 2010Empirical research in business process management – analysis of an emerging field of research244 cited
  • 2017A Deep Learning Approach for Predicting Process Behaviour at Runtime105 cited
  • 2017The Internet-of-Things Meets Business Process Management: Mutual Benefits and Challenges61 cited
  • 2015A graph-theoretic method for the inductive development of reference process models23 cited

Cited by

  • 2022The effects of industry 4.0 technologies on relational performance: the mediating role of supply chain emergence in the transitive logistics service triads18 cited
  • 2019Development of a Modeling Architecture Incorporating the Industry 4.0 View for a Company in the Gas Sector8 cited
  • 2023Modeling 4.0: Conceptual Modeling in a Digital Era8 cited

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