Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk

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Detalles Bibliográficos
Publicado en:	Buildings vol. 15, no. 7 (2025), p. 1138
Autor principal:	Zhang, Lin
Otros Autores:	Hou, Yanan
Publicado:	MDPI AG
Materias:	China Construction accidents & safety Risk management Success Belief networks Risk factors Quality control Manufacturers Manufacturing Network analysis Construction methods Risk groups Onsite Risk assessment Construction industry Monte Carlo simulation Bayesian analysis Decision making Project management Supply chains Methods Literature reviews Stakeholders Cost control
Acceso en línea:	Citation/Abstract Full Text + Graphics Full Text - PDF
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Descripción
Resumen:	The construction industry continues to face challenges such as increased costs, time overruns, and low quality. Off-site construction (OSC) methods are increasingly being adopted as alternatives to traditional construction practices to address these issues, with off-site manufacturing (OSM) representing a key difference in construction methods. However, existing studies have largely neglected the systematic evaluation of OSM risks on quality, cost, and delivery (QCD) outcomes, leaving a significant gap in understanding the complex interdependencies among risk factors. To improve risk management in OSC projects, it is crucial to evaluate the impact of OSM risks on QCD outcomes. This study applies the Bayesian Belief Network (BBN) method to develop an evaluation model that measures the impact of OSM risks on QCD outcomes in OSC projects. The results identify 12 significant risk factors affecting QCD outcomes in OSC projects. Five key risk groups were identified as critical for managing OSM risks. This approach provides a systematic framework for managing OSM risks and optimizing OSC practices in China.
ISSN:	2075-5309
DOI:	10.3390/buildings15071138
Fuente:	Engineering Database