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, 30(10), pp. 5253-5279. ISSN 0969-9988
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.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information model; construction schedule; genetic algorithm; ontology constraints rules |
| Index terms: | methodology, schedule control, conceptual framework, genetic algorithm, prototype, functionality, ontology, module, duration, building information modelling |
| Subjects: | project controls, information systems, education and knowledge transfer, architectural elements, theoretical framing, research methods, algorithms, design features, modelling and simulation |
| Topics: | Engineering Principles, Research Practice, Time Control, Digital Applications, Design Practice |
| Descriptive scope: | 4 PCTA |
N.B. Descriptive scope is a count of how many of the five facets of empirical research are indicated by the words used in title, abstract and keywords. It is not intended as a judgement on the research; merely a count of the kind of word we would expect to indicate Phenomenon, Concepts, Theoretical framing, Empirical techniques, Analytical techniques. If all five are present, then a code of “5 PCTEA” will indicate this. If you feel the coding for this record is questionable, we welcome discussion around the terms we matched or the way we categorized them. The facet you would expect may not be coded, or a facet may be coded inappropriately. This can also bear on a larger question, of which facets should be treated as defining in construction management research. Please get in touch, and we will look at it. More details here