Abstract
Fostered by advances in digital twin and onsite monitoring technologies, the paradigm of Digital Twin Construction (DTC) has emerged as a comprehensive mode of construction that proposes a data-driven lean production planning and control workflow, leveraging project status and design intent information to make proactive production system design changes. Simulation plays an essential role in the DTC paradigm as a provider of predictive situational awareness (SA), a mechanism for data-driven continuous improvement, and an enabler of future autonomous real-time production control systems in construction projects. In this paper, we outline these modes of use of simulation, discuss potential barriers to implementing simulation in DTC workflows, and propose a set of criteria to evaluate a simulation tool’s applicability to DTC.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering |
| Editors | Jochen Teizer, Carl Peter Leslie Schultz |
| Pages | 248-258 |
| Number of pages | 11 |
| ISBN (Electronic) | 9788775075218 |
| DOIs | |
| State | Published - 2022 |
| Event | 29th International Workshop on Intelligent Computing in Engineering, EG-ICE 2022 - Aarhus, Denmark Duration: 6 Jul 2022 → 8 Jul 2022 |
Publication series
| Name | Proceedings of the 29th EG-ICE International Workshop on Intelligent Computing in Engineering |
|---|
Conference
| Conference | 29th International Workshop on Intelligent Computing in Engineering, EG-ICE 2022 |
|---|---|
| Country/Territory | Denmark |
| City | Aarhus |
| Period | 6/07/22 → 8/07/22 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 9 Industry, Innovation, and Infrastructure
ASJC Scopus subject areas
- General Engineering
- Computer Science Applications
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