Improving the construction accuracy of precast components in prefabricated buildings by analyzing relevant factors from the perspective of supply chain: a system dynamics model

ABSTRACT

The construction accuracy of precast components in prefabricated buildings has received sufficient attention in the context of the high-quality development of the construction industry. However, various unknown factors in the production, transportation, and installation stages lead to significant deviations in construction, and have not been systematically identified and dynamically analyzed in previous studies. This study aims to improve the construction accuracy of precast components by unlocking the causal relationships among these factors and revealing top-sensitive factors among them. Thus, based on the theory of system dynamics (SD), an SD model is established from the perspective of a supply chain consisting of the production, transportation, and installation stages. The 14 factors and their causal relationships involved in the SD model are identified through literature review and expert consultation methods. The sensitivity analysis method based on dynamic simulation is adopted to analyze the data output from the SD model. Finally, a real prefabricated building project is used for demonstrating and validating this SD model. The significant findings indicate that the installation stage is the most critical stage affecting the construction accuracy of precast components, and the precision of cast-in-situ structure is the most sensitive factor. The formwork system of cast-in-situ structure and construction personnel quality are the root causes of the precision of cast-in-situ structure. The suggestions corresponding to these findings are made. These findings and suggestions can facilitate general contractors in allocating relevant resources to more critical factors for efficiently improving the construction accuracy of precast components.

KEYWORDS:

• Prefabricated building
• precast component
• construction accuracy
• system dynamics
• supply chain

Disclosure statement

No potential conflict of interest was reported by the author(s).

Data availability statement

All data, models, and code generated or used during the study appear in the submitted article.

Additional information

Funding

This work was supported by National Natural Science Foundation of China: [Grant Number 72201157] and the Major Scientific & Technological Innovation Projects of Shandong Province: [Grant Number 2021CXGC011204].