Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk

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) represen...

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Main Authors: Lin Zhang, Yanan Hou
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Buildings
Subjects:
Online Access:https://www.mdpi.com/2075-5309/15/7/1138
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author Lin Zhang
Yanan Hou
author_facet Lin Zhang
Yanan Hou
author_sort Lin Zhang
collection DOAJ
description 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.
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spelling doaj-art-b54c5510801e441dadfe132cef7dc42a2025-08-20T03:06:32ZengMDPI AGBuildings2075-53092025-03-01157113810.3390/buildings15071138Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing RiskLin Zhang0Yanan Hou1Department of Traffic Safety, China Academy of Safety Science and Technology, Beijing 100012, ChinaCollege of Geological Engineering and Geomatics, Chang’an University, Xi’an 710018, ChinaThe 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.https://www.mdpi.com/2075-5309/15/7/1138Bayesian belief networkoff-site manufacturingrisk management
spellingShingle Lin Zhang
Yanan Hou
Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
Buildings
Bayesian belief network
off-site manufacturing
risk management
title Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
title_full Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
title_fullStr Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
title_full_unstemmed Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
title_short Bayesian Belief Network Analysis for Chinese Off-Site Manufacturing Risk
title_sort bayesian belief network analysis for chinese off site manufacturing risk
topic Bayesian belief network
off-site manufacturing
risk management
url https://www.mdpi.com/2075-5309/15/7/1138
work_keys_str_mv AT linzhang bayesianbeliefnetworkanalysisforchineseoffsitemanufacturingrisk
AT yananhou bayesianbeliefnetworkanalysisforchineseoffsitemanufacturingrisk