Enhancing Supply Chain Resilience in Prefabricated Buildings: The Role of Blockchain Technology in Volatile, Uncertain, Complex, and Ambiguous Environments
Author(s): |
Junting Li
Peizhuo Yuan Lili Liang Jinfeng Cao |
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Medium: | journal article |
Language(s): | English |
Published in: | Buildings, 25 August 2024, n. 9, v. 14 |
Page(s): | 3006 |
DOI: | 10.3390/buildings14093006 |
Abstract: |
This study explores how blockchain technology can enhance the resilience of the prefabricated building supply chain in volatile, uncertain, complex, and ambiguous (VUCA) environments. The measurement model of the subject, stage, and overall resilience of the supply chain is constructed. The four indices of blockchain are introduced, and the model from the resilience of the supply chain subject to the overall resilience is established. The interaction behavior between subjects is analyzed. The weight is determined by the AHP method, and the multi-agent model simulation is carried out using NetLogo(6.5) software. After the introduction of blockchain technology, even in the early stage of application, supply chain resilience has been significantly enhanced; especially in the decision-making stage, information transparency and efficiency have been significantly improved. When the technology is maturely applied, the toughness of each stage shows an accelerated growth trend, and the improvement in toughness in the assembly stage is particularly significant. By optimizing key influencing factors, the growth rate of resilience in the assembly stage is further improved, which verifies the positive impact of blockchain technology and main factor optimization on overall resilience. In summary, the introduction of blockchain technology and its mature application are crucial for improving the resilience of the prefabricated building supply chain, providing an effective way to meet the challenges of VUCA. |
Copyright: | © 2024 by the authors; licensee MDPI, Basel, Switzerland. |
License: | This creative work has been published under the Creative Commons Attribution 4.0 International (CC-BY 4.0) license which allows copying, and redistribution as well as adaptation of the original work provided appropriate credit is given to the original author and the conditions of the license are met. |
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10804531 - Published on:
10/11/2024 - Last updated on:
10/11/2024