Mariaca Clavel, Israel Simon (2025) Dynamic construction scheduling: Utilizing AI data automation in a BIM-integrated serious game framework. PhD thesis, University College London, UK.
Abstract
The construction industry, particularly in large-scale infrastructure projects like bridge construction, faces persistent scheduling challenges due to uncertainty, resource constraints, and inefficiencies in traditional methodologies. This research develops a conceptual framework for dynamic construction scheduling that utilises Building Information Modelling (BIM), Artificial Intelligence (AI)-driven data automation, and gamification principles. Following an exploratory, artefact-mediated Design Science Research (DSR) methodology, the study combines theoretical analysis with semistructured interviews and focus group discussions with industry experts to develop and refine the framework. The conceptual framework systematically categorises uncertainty factors and incorporates automated BIM data extraction and dynamic adaptability to improve decision-making. Unlike traditional scheduling techniques, the proposed framework enhances flexibility by allowing dynamic, scenario-based scheduling adjustments. A proof-of-concept artefact was developed to demonstrate these principles. This artefact leverages game engine technology and real-time strategy (RTS) mechanics to provide an intuitive and interactive scheduling environment, enabling construction professionals to visualise and simulate project workflows. Qualitative evaluation from focus group discussions indicates that the framework's principles are relevant to industry challenges and that the artefact can be a valuable tool for fostering discussion, supporting proactive decision-making, and enhancing collaboration. This research contributes to both theoretical advancements in uncertaintyaware scheduling models and practical approaches to construction project management. By combining dynamic adaptability, automation, and interactive decision-making, the proposed framework offers a structured approach to modern scheduling challenges, setting a foundation for future applications in complex infrastructure projects.
| Item Type: | Thesis (Doctoral) |
|---|---|
| Uncontrolled Keywords: | construction scheduling; building information modelling; artificial intelligence; gamification; game engine; real-time strategy mechanics |
| Index terms: | focus group, design science research, scheduling, interview, strategy, face, game engine, resource constraint, artefact, adaptability, collaboration, decision-making, methodology, workflow, conceptual framework, bridge construction, gamification, construction scheduling, building information modelling, construction project management, construction professional, artificial intelligence, automation, infrastructure project, construction industry |
| Subjects: | infrastructure and transport systems, industry analysis, information systems, project controls, sociology, decision analysis, professional development, project management theory and practice, design practice, management, user engagement, software systems, artificial intelligence, data collection methods, automation and robotics, infrastructure engineering, theoretical framing, research methods, psychology, operations management, operations research, user focus |
| Topics: | Risk Management, Engineering Principles, Project Management, Business Strategy, Information Management, Research Practice, Organizational Design, Time Control, Digital Applications, Design Practice |
| Descriptive scope: | 5 PCTEA |
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