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Enabling Process Mining in the Construction Industry: An Event Log Schema for Change Management Process
Construction has suffered from stagnant productivity for decades, with only 1% growth over the past twenty years compared to the 3.6% growth in the manufacturing industry. One of the main causes of this problem is that the industry still relies on manual and subjective methods for modeling and managing its construction processes, which are error-prone and time-consuming. To tackle this challenge, process mining has proven to be a game-changer in managing processes effectively providing automation capabilities for several industries such as manufacturing, banking, and health care. These industries have adopted the eXtensible Event Stream (XES) and object-centric event logs (OCEL) standards to semantically structure event logs that record timestamped human–machine interactions (HMI) associated with the real execution of business processes. However, one major factor preventing a broader process mining implementation in the construction industry is the lack of a domain-specific framework to facilitate the data integration for the generation of event logs from generic data sources (i.e., relational databases). Thus, this work aims at enabling process mining capabilities in construction organizations through an event log generation framework for construction processes. The main contributions of this research work are (i) an extended event log architecture that facilitates the extraction, transformation, loading (ETL), and querying of construction data; and (ii) the development of a process mining use case related to the construction change management process. In conclusion, this study facilitates the event log generation that enables process mining analysis to get data-driven actionable process performance insights that support construction companies with strategic decision-making across the project lifecycle.
Enabling Process Mining in the Construction Industry: An Event Log Schema for Change Management Process
Construction has suffered from stagnant productivity for decades, with only 1% growth over the past twenty years compared to the 3.6% growth in the manufacturing industry. One of the main causes of this problem is that the industry still relies on manual and subjective methods for modeling and managing its construction processes, which are error-prone and time-consuming. To tackle this challenge, process mining has proven to be a game-changer in managing processes effectively providing automation capabilities for several industries such as manufacturing, banking, and health care. These industries have adopted the eXtensible Event Stream (XES) and object-centric event logs (OCEL) standards to semantically structure event logs that record timestamped human–machine interactions (HMI) associated with the real execution of business processes. However, one major factor preventing a broader process mining implementation in the construction industry is the lack of a domain-specific framework to facilitate the data integration for the generation of event logs from generic data sources (i.e., relational databases). Thus, this work aims at enabling process mining capabilities in construction organizations through an event log generation framework for construction processes. The main contributions of this research work are (i) an extended event log architecture that facilitates the extraction, transformation, loading (ETL), and querying of construction data; and (ii) the development of a process mining use case related to the construction change management process. In conclusion, this study facilitates the event log generation that enables process mining analysis to get data-driven actionable process performance insights that support construction companies with strategic decision-making across the project lifecycle.
Enabling Process Mining in the Construction Industry: An Event Log Schema for Change Management Process
Lecture Notes in Civil Engineering
Desjardins, Serge (editor) / Poitras, Gérard J. (editor) / Nik-Bakht, Mazdak (editor) / Martinez, Araham (author) / Nik-Bakht, Mazdak (author)
Canadian Society of Civil Engineering Annual Conference ; 2023 ; Moncton, NB, Canada
Proceedings of the Canadian Society for Civil Engineering Annual Conference 2023, Volume 3 ; Chapter: 8 ; 103-117
2024-10-16
15 pages
Article/Chapter (Book)
Electronic Resource
English
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