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عنوان انگلیسی مقاله:
IFC-based process mining for design authoring
ترجمه فارسی عنوان مقاله:
استخراج فرآیند مبتنی بر IFC برای تألیف طراحی
Sciencedirect - Elsevier - Automation in Construction, 112 (2020) 103069. doi:10.1016/j.autcon.2019.103069
Sobhan Kouhestanib, Mazdak Nik-Bakhta,b,⁎
Building Information Modelling (BIM) is defined as the process of creation and management of digital replica for
building products in a collaborative design set-up. On this basis, BIM as a digital collaboration platform in AECO
(Architecture, Engineering, Construction, and Operation) industry, can be upgraded to assist monitoring, control
and improvement of the business processes related to planning, design, construction and operation of building
facilities. The main problem in this regard, is the wastage of data related to activities completed by different
actors during the project; and subsequently, the lack of analytics to discover latent patterns in collaboration and
execution of such processes. The present study aims to enable BIM to capture digital footprints of project actors
and create event logs for design authoring phase of building projects. This is done using files in IFC (Industry
Foundation Classes) format, archived during the design process. We have developed algorithms to create event
logs from such archives, and analyzed the event logs using process mining (i.e. process discovery, conformance
checking and bottleneck analysis), to identify measures derived from as-happened processes. BIM managers can
implement such measures in monitoring, controlling and re-engineering work processes related to design authoring.
Two case studies were completed to validate and verify the products and findings of the research. Our
results show that process models discovered/fine-tuned at various resolutions and from different perspectives
(including ‘actor-centric’ and ‘phase-centric’ views) can provide a realistic view of the BIM project execution.
This includes understanding the structure of collaboration and hand-over of work; evaluation of compliance with
the BIM execution plan; and detection of bottlenecks and re-works. While the scope of the study has been limited
to design authoring processes, this mindset can be extended to other BIM uses, and other phases (such as
construction and operation) of building projects. Given the growing efforts on upgrading BIM to capture and
formalize the lifecycle data on the products, processes and actors, this study can strongly support BIM managers
with documentation and evaluation of the business processes and workflows in their project teams.
Keywords: Building Information Modeling | Business processes management | Data mining | Process mining | BIM management | BIM Execution Planning