A Novel Hybrid Methodology to Study the Risk Management of Prefabricated Building Supply Chains: An Outlook for Sustainability

The management of the prefabricated building supply chain involves entire process buildings. There are many uncertain factors, and risk factors in any link will affect overall operation chain. In order to achieve “dual carbon” goal as soon possible promote sustainable development chain, it is very important study assembly recognition, prediction, assessment, response. this study, on basis literature research, WBS-RBS (Work Breakdown Structure–Risk Structure) method comprehensively uses working type establish an indicator system for Then, prediction evaluation model neural network BP (Back Propagation) through Python software established predict chains. After verification, was found that accuracy training set test reached 100% 96.6667%. results showed had good effects forecast which provided certain predictions For reference, explore importance results, characteristic algorithm machine learning replacement features further analyzes Finally, based construction project enterprise A, its were carried out, countermeasures targeted risks proposed, we new research assembled provide ideas.