To explore and construct a scientific and effective mechanism of risk-sharing in the prefabricated building project supply chain (PBPSC), this study analyzed the main risks faced by each unit in the project supply chain (SC), established a risk-sharing model, and proposes corresponding countermeasures. This study systematically reviewed the relevant literature and combined the opinions of industry experts to establish a system of influencing factors in terms of environment, organization and management, design, technology, procurement, transportation, and recycling. Construction units, general contractors, design units, parts and components manufacturing units, and recycling units were taken as a coalition of participating enterprises for risk-sharing. The Shapley value method was used to establish a pre-risk-sharing model. The Nash negotiation method was used to establish a re-risk-sharing model, so that the results are fair and reasonable. A case study of a prefabricated building project (PBP) was used as an example for validation. The results show that the value of risk loss reduced by each participating enterprise after participating in cooperation is more than the risk loss reduced without cooperation. Through sensitivity analysis using the single-factor one factor at a time (OAT) method, construction risks need to be taken seriously by developers and contractors. For design unit and component manufacturing unit, organizational management risk factors need to be taken seriously. For recycling units, recycling risk factors need to be taken seriously. This study explores the issue of risk-sharing in PBPSCs, using the Shapley value and Nash negotiation methods to provide a reasonable risk-sharing model for multiparty cooperation. Sensitivity analysis was conducted using the single-factor OAT method to explore the impact of changes in risk factors on the results, ensuring the robustness and reliability of the model in practical applications. The risk-sharing model proposed in this study can serve as a reference for policymakers, project managers, and industry professionals, helping them better mitigate risks, optimize resource allocation, and ultimately achieve successful project delivery, thereby providing practical guidance for the smooth implementation of PBPs.
Liu et al. (Mon,) studied this question.