Research on Risk Management of Green Supply Chain of Prefabricated Buildings Based on QCA

Yang, Hongxiong; Ren, Wanru

doi:10.1051/e3sconf/202124803041

Cited by 2 publications

(2 citation statements)

References 3 publications

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“…Hsu et al [16] discussed the influence of the schedule deviation on the supply chain of prefabricated buildings, and established a mathematical model that could choose the optimal production and transportation scheme. Yang et al [17] adopted the fuzzy set qualitative comparative analysis method to analyze the green supply chain risk of prefabricated buildings from a holistic perspective, and fully considered internal and external links to help all participants in the supply chain to avoid risks. Sun et al [18] analyzed the risk transmission effect, established a risk network model combining the complex network theory, and proposed the risk immunization strategy.…”

Section: Literature Reviewmentioning

confidence: 99%

Analysis on Supply Chain Risk Factors of Prefabricated Buildings Using AHP-DEMATEL-ISM Model

2023

Teh. vjesn.

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Given the numerous participants in the supply chain of prefabricated buildings and the great difficulty in improving risk management and control level, influencing factors through the literature review method were identified. Then, 7 first-level indexes and 23 second-level indexes were extracted. An influence index system for supply chain risks of prefabricated buildings was established. Comprehensively considering the importance and correlation of various influencing factors, the AHP-DEMATEL (Analytic Hierarchy Process and Decision-making Trial and Evaluation Laboratory) combined model was constructed, which solved the one-sided problem of the weight result of a single model. Then, the ISM (Interpretative Structural Modelling) model could be used to show the characteristics of the structural relationship of influencing factors hierarchically, and the fundamental supply chain risk factors were more accurately and clearly explored using the AHP-DEMATEL-ISM model. Results show that: (1) Logistics transportation distance, damage to prefabricated components during transportation, and unreasonable control of assembly period are the fundamental factors affecting the risk of prefabricated buildings, among which logistics transportation distance and damage to prefabricated components during transportation are the resulting factors, and the unreasonable control of the assembly period is the causal factor, but the factor weight is low because of the difficulty in short-term improvement. (2) Component production technology and equipment, transportation distance, and punctuality of product supply account for a high weight in the supply chain risk assessment index system of prefabricated buildings. (3) A total of 11 factors, such as inconformity of product design and standard, immature design technology level, component production technology and equipment, and quality of purchased materials, affect the supply chain risk of prefabricated buildings and are also causal factors with high weights. Conclusions obtained in the study provide a theoretical basis for the supply chain risk control of prefabricated buildings to a certain extent and also present a new perspective for the supply chain risk assessment of prefabricated buildings.

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Section: Literature Reviewmentioning

confidence: 99%

Analysis on Supply Chain Risk Factors of Prefabricated Buildings Using AHP-DEMATEL-ISM Model

2023

Teh. vjesn.

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“…In terms of risk assessment, Ming et al [19] comprehensively identified various risks in the investment stage of prefabricated buildings in China by establishing a system dynamics model and quantitatively analyzed investment risks; Luo et al [20] came to the conclusion that prefabricated construction projects are an actual case to study the supply chain risk and the interaction between supply chain risks and find the biggest risk factors affecting the prefabricated construction supply chain; Too et al [21] put forward a framework for the impact of carbon emissions during the evaluation items in the planning, delivery, closing, and operation. This study considers the impact of carbon emissions on the entire construction activity and puts it in environmental risks for analysis and research; Yang and Ren [22] used the fuzzy comparative analysis method to analyze the risks of prefabricated building green supply chain from the overall perspective and proposed targeted measures to avoid risks. In terms of risk management, Tah and Carr [23] proposed a knowledge management database for risk management of engineering supply chains in view of the defects in the process of engineering project risk management; Hsu and Aurisicchio [24] proposed adding mathematical models to using a risk avoidance model for prefabricated buildings; Shojaei and Haeri [25] conducted scientific guidance and evaluation on the risk management of the prefabricated building project supply chain based on gray correlation.…”

Section: Prefabricated Building Supply Chain Risk Managementmentioning

confidence: 99%

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

Zhu

Liu

2022

Sustainability

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

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Research on Risk Management of Green Supply Chain of Prefabricated Buildings Based on QCA

Cited by 2 publications

References 3 publications

Analysis on Supply Chain Risk Factors of Prefabricated Buildings Using AHP-DEMATEL-ISM Model

Analysis on Supply Chain Risk Factors of Prefabricated Buildings Using AHP-DEMATEL-ISM Model

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

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