Gao, M Y; Han, J; Yang, Y; Tiong, R L K; Zhao, C and Han, C (2024) BIM-based and IoT-driven smart tracking for precast construction dynamic scheduling. Journal of Construction Engineering and Management, 150(9): 04024117, ISSN 0733-9364
Abstract
Precast construction offers multiple benefits, encompassing heightened productivity, an enhanced working environment, and significant waste reduction. Timely delivery of precast components (PCs) is of paramount importance in the successful execution of construction projects, mainly because processes involving precast prefabrication are identified frequently as critical activities in the majority of cases. However, current scheduling models for precast production need to meet the demands of dynamic environments in which construction projects contend with uncertainties. Consequently, it is essential to investigate and develop more-resilient and flexible scheduling approaches to address these challenges effectively and guarantee the timely delivery of precast components in these dynamic construction scenarios. To address these challenges, this study introduces an approach that integrates precast tracking, positioning, progress monitoring, and analysis among the multiple stages undertaken by project communities. Each component's status is updated dynamically in the cloud-based Building Information Modeling (BIM) platform using radio-frequency identification (RFID) and ultrawideband (UWB) technologies. Moreover, the collected data are updated to a dynamic production planning engine to be analyzed more accurately and flexibly for prefabrication, fitting-out, installation resources, workerpower planning, scheduling, and execution. To verify the efficiency of the proposed system, on-site testing was performed on a prefabricated prefinished volumetric construction (PPVC) residential building project. The findings show that a precast component can be tracked precisely on-site and that the sensor network can deliver trustworthy data. This research adopted an innovative and comprehensive methodology, centering on the transmission of real-time data collected via RFID and UWB sensing to enable dynamic scheduling in precast construction. By facilitating dynamic planning, scheduling, optimization, and progress monitoring, the study introduces a paradigm shift in construction project management, markedly improving the efficiency and effectiveness of project execution.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | building information modeling; dynamic production scheduling; internet of things; modular construction; precast construction |
| Index terms: | construction project management, effectiveness, paradigm, internet, testing, prefabrication, platform, building information modelling, real-time data, residential building, efficiency, productivity, construction project, progress monitoring, methodology, modular construction, waste reduction, guarantee, scheduling, production planning |
| Subjects: | construction type, computing systems, operations research, project delivery, professional practice, research methods, performance management, education and knowledge transfer, sustainability assessment, management, contract structure, digital design, project management theory and practice, production management, building construction, project controls, data management, information systems |
| Topics: | Sustainability, Procurement, Construction Technology, Engineering Principles, Project Management, Research Practice, Business Strategy, Time Control, Quality Management, Digital Applications |
| Descriptive scope: | 3 PCT |
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