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Integrating Process Mining with Discrete-Event Simulation for Dynamic Productivity Estimation in Heavy Civil Construction Operations
10 references·1 citing·46 second hop
Integrating Process Mining with Discrete-Event Simulation for Dynamic Productivity Estimation in Heavy Civil Construction Operations (2022)Integrating Process Mining with Discrete-…Outcome-Oriented Predictive Process Monitoring (2019)Outcome-Oriented Predictive P…Process Mining (2016)Process MiningKnowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining (2013)Knowledge-Based Simulation Mo…Improving Business Process Models with Agent-Based Simulation and Process Mining (2013)Improving Business Process Mo…Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach (2013)Combination of Process Mining…Exploring the environmental modeling of road construction operations using discrete-event simulation (2012)Exploring the environmental m…Simulation and analytical techniques for construction resource planning and scheduling (2011)Simulation and analytical tec…Methodology for Conducting Discrete-Event Simulation Studies in Construction Engineering and Management (2009)Methodology for Conducting Di…Discovering simulation models (2008)Discovering simulation modelsComparison of Construction Alternatives Using Matched Simulation Experiments (1996)Comparison of Construction Al…Simulation and process mining in a cross-docking system: a case study (2023)Simulation and process mining…THE APPLICATION OF PETRI NETS TO WORKFLOW MANAGEMENT (1998)Agent-based modeling: Methods and techniques for simulating human systems (2002)Workflow mining: discovering process models from event logs (2004)Improving process models by mining mappings of low-level events to high-level activities (2014)Agentic Business Process Management: Practitioner Perspectives on Agent Governance in Business Processes (2025)Towards integrating process mining with agent-based modeling and simulation: State of the art and outlook (2025)Simulation Modeling and Analysis. 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(2015)Schedule risk analysis of infrastructure projects: A hybrid dynamic approach (2018)Process Mining (2011)Process Mining: Discovery, Conformance and Enhancement of Business Processes (2011)The use of process mining in a business process simulation context: Overview and challenges (2014)Process mining applications in software engineering (2016)The state-of-the-art of business process mining challenges (2017)Procedures for Performing Systematic Reviews (2004)Fundamentals of Business Process Management (2018)Survey and Cross-benchmark Comparison of Remaining Time Prediction Methods in Business Process Monitoring (2019)A systematic literature review on state-of-the-art deep learning methods for process prediction (2021)The biggest business process management problems to solve before we die (2023)Automated Discovery of Process Models from Event Logs: Review and Benchmark (2018)Examining the interplay between big data analytics and contextual factors in driving process innovation capabilities (2020)
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References

  • 2016Process Mining2,166 cited
  • 2019Outcome-Oriented Predictive Process Monitoring352 cited
  • 2008Discovering simulation models295 cited
  • 2009Methodology for Conducting Discrete-Event Simulation Studies in Construction Engineering and Management136 cited
  • 2013Knowledge-Based Simulation Modeling of Construction Fleet Operations Using Multimodal-Process Data Mining92 cited
  • 1996Comparison of Construction Alternatives Using Matched Simulation Experiments74 cited
  • 2012Exploring the environmental modeling of road construction operations using discrete-event simulation66 cited
  • 2011Simulation and analytical techniques for construction resource planning and scheduling61 cited
  • 2013Combination of Process Mining and Simulation Techniques for Business Process Redesign: A Methodological Approach37 cited
  • 2013Improving Business Process Models with Agent-Based Simulation and Process Mining23 cited

Cited by

  • 2023Simulation and process mining in a cross-docking system: a case study15 cited

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