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- Publisher Website: 10.1016/j.compind.2021.103437
- Scopus: eid_2-s2.0-85102139888
- WOS: WOS:000636296300006
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Article: Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production
Title | Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production |
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Authors | |
Keywords | Modular housing production Blockchain Two-layer adaptive blockchain Off-site construction Modular construction |
Issue Date | 2021 |
Publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/compind |
Citation | Computers in Industry, 2021, v. 128, p. article no. 103437 How to Cite? |
Abstract | By manufacturing housing products off-site and assembling on-site, modular construction can significantly improve the housing supply efficiency, particularly for high-density cities. However, off-site modular housing production (OMHP) supervision is currently problematic. The production parties are reluctant to provide detailed private data; Even worse, the submitted operation records can be easily fabricated, tampered with, or hard to trace the responsibility. This study develops an innovative Two-layer Adaptive Blockchain-based Supervision (TABS) model for OMHP. The first layer includes the adaptive private sidechains of participants. The second layer is the main blockchain for communication and ‘trading’ among all participants. Benefitted from the unique adaptive two-layer structure, TABS can avoid tampering with operation records by the main blockchain and drive the participants to publish their operation records promptly without privacy leaks. A system prototype was also developed to evaluate the performance of the TABS model. The results indicated that the TABS model could enhance privacy and reduce storage costs at an acceptable latency level. The findings of this study can pave the avenue for a tamper-proof and privacy-preserving supervision mechanism in the architecture, engineering, and construction industry. |
Persistent Identifier | http://hdl.handle.net/10722/297644 |
ISSN | 2023 Impact Factor: 8.2 2023 SCImago Journal Rankings: 2.453 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Li, X | - |
dc.contributor.author | WU, L | - |
dc.contributor.author | Zhao, R | - |
dc.contributor.author | Lu, W | - |
dc.contributor.author | Xue, F | - |
dc.date.accessioned | 2021-03-23T04:19:49Z | - |
dc.date.available | 2021-03-23T04:19:49Z | - |
dc.date.issued | 2021 | - |
dc.identifier.citation | Computers in Industry, 2021, v. 128, p. article no. 103437 | - |
dc.identifier.issn | 0166-3615 | - |
dc.identifier.uri | http://hdl.handle.net/10722/297644 | - |
dc.description.abstract | By manufacturing housing products off-site and assembling on-site, modular construction can significantly improve the housing supply efficiency, particularly for high-density cities. However, off-site modular housing production (OMHP) supervision is currently problematic. The production parties are reluctant to provide detailed private data; Even worse, the submitted operation records can be easily fabricated, tampered with, or hard to trace the responsibility. This study develops an innovative Two-layer Adaptive Blockchain-based Supervision (TABS) model for OMHP. The first layer includes the adaptive private sidechains of participants. The second layer is the main blockchain for communication and ‘trading’ among all participants. Benefitted from the unique adaptive two-layer structure, TABS can avoid tampering with operation records by the main blockchain and drive the participants to publish their operation records promptly without privacy leaks. A system prototype was also developed to evaluate the performance of the TABS model. The results indicated that the TABS model could enhance privacy and reduce storage costs at an acceptable latency level. The findings of this study can pave the avenue for a tamper-proof and privacy-preserving supervision mechanism in the architecture, engineering, and construction industry. | - |
dc.language | eng | - |
dc.publisher | Elsevier BV. The Journal's web site is located at http://www.elsevier.com/locate/compind | - |
dc.relation.ispartof | Computers in Industry | - |
dc.subject | Modular housing production | - |
dc.subject | Blockchain | - |
dc.subject | Two-layer adaptive blockchain | - |
dc.subject | Off-site construction | - |
dc.subject | Modular construction | - |
dc.title | Two-layer Adaptive Blockchain-based Supervision model for off-site modular housing production | - |
dc.type | Article | - |
dc.identifier.email | Li, X: xl1991@hku.hk | - |
dc.identifier.email | Zhao, R: ruizhao@hku.hk | - |
dc.identifier.email | Lu, W: wilsonlu@hku.hk | - |
dc.identifier.email | Xue, F: xuef@hku.hk | - |
dc.identifier.authority | Lu, W=rp01362 | - |
dc.identifier.authority | Xue, F=rp02189 | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1016/j.compind.2021.103437 | - |
dc.identifier.scopus | eid_2-s2.0-85102139888 | - |
dc.identifier.hkuros | 321783 | - |
dc.identifier.volume | 128 | - |
dc.identifier.spage | article no. 103437 | - |
dc.identifier.epage | article no. 103437 | - |
dc.identifier.isi | WOS:000636296300006 | - |
dc.publisher.place | Netherlands | - |