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Automatic generation of BIM-based construction schedule: combining an ontology constraint rule and a genetic algorithm

Zhijiang Wu (Tongji University, Shanghai, China)
Guofeng Ma (Tongji University, Shanghai, China)

Engineering, Construction and Architectural Management

ISSN: 0969-9988

Article publication date: 16 August 2022

Issue publication date: 28 November 2023

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Abstract

Purpose

The purpose of this study is to automatically generate a construction schedule by extracting data from the BIM (Building Information Modeling) model and combining an ontology constraint rule and a genetic algorithm (GA).

Design/methodology/approach

This study developed a feasible multi-phase framework to generate the construction schedule automatically through extracting information from the BIM, utilizing the ontology constraint rule to demonstrate the relationships between all the components and finally using the GA to generate the construction schedule.

Findings

To present the functionality of the framework, a prototype case is adopted to show the whole procedure, and the results show that the scheme designed in this study can quickly generate the schedule and ensure that it can satisfy the requirements of logical constraints and time parameter constraints.

Practical implications

A proper utilization of conceptual framework can contribute to the automatic generation of construction schedules and significantly reduce manual errors in the Architectural, Engineering, and Construction (AEC) industry. Moreover, a scheme of BIM-based ontology and GA for construction schedule generation may reduce additional manual work and improve schedule management performance.

Social implications

The hybrid approach combines the ontology constraint rule and GA proposed in this study, and it is an effective attempt to generate the construction schedule, which provides a direct indicator for the schedule control of the project.

Originality/value

In this study, the data application process of the BIM model is divided into four modules: extraction, processing, optimization, and output. The key technologies including secondary development, ontology theory, and GA are introduced to develop a multi-phase framework for the automatic generation of the construction schedule and to realize the schedule prediction under logical constraints and duration interference.

Keywords

Acknowledgements

The research described in the paper is funded by the National Natural Science Foundation of China (Grant No. 72171177). We thank Wanwan Tao for assistance with samples and producing several figures. We also appreciate the detailed suggestions and comments from the editor and the anonymous reviewers.

Citation

Wu, Z. and Ma, G. (2023), "Automatic generation of BIM-based construction schedule: combining an ontology constraint rule and a genetic algorithm", Engineering, Construction and Architectural Management, Vol. 30 No. 10, pp. 5253-5279. https://doi.org/10.1108/ECAM-12-2021-1105

Publisher

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Emerald Publishing Limited

Copyright © 2022, Emerald Publishing Limited

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