Building-Information-Modelling to Discrete-Event-Simulation Integration: Towards the Development of a Space-Process Digital Twin
Published in SSRN preprint, 2024-05-14
Presents a framework for integrating building information modelling (BIM) data and discrete-event simulation for a digital twin of a healthcare process.
Abstract: Building Information Modelling (BIM) offers an incredibly rich set of information that can be used across the whole building's life cycle. Though research and applications have largely focused on Facilities and Asset Management, there is still little understanding on how BIM data can have an impact on core business operations. In this article, BIM and Discrete Event Simulation techniques are integrated in a space-process Digital Twin with the goal to determine and control the impact of the spatial layout and built asset performance on the core process throughput. A use case on a multi-storey histopathology laboratory has been developed and the performance loss of the core process due to faulty lifts has been studied. The application of the proposed approach gives the Operations and Facilities Managers evidence of significant increase of the laboratory Turnaround Time (approx. 9.5% on average) when samples are not transported through the optimal route.
DOI: 10.2139/ssrn.4827727
Recommended citation:
N. Moretti, Y.-C. Chan, M. Nakaoka, A. Mukherjee, J. Merino, and A. K. Parlikad, “Building Information Modelling to Discrete Event Simulation Integration Towards the Development of a Space-Process Digital Twin”. SSRN preprint, May 2024.