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Blockchain-enabled supply chain coordination for off-site construction using Bayesian theory for plan reliability
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Publication Year
2023-11-01
Publisher
Elsevier B.V.
Citation
Automation in Construction, Vol.155
Keyword
Bayesian updatingBlockchainOff-site constructionPlan reliabilityRebate pricingSmart contractsSupply chain coordination
Mesh Keyword
Bayesian theoryBayesian updatingBlock-chainCoordination systemsIndependent agentsInformation sharingOff-site constructionPlan reliabilityRebate pricingSupply chain coordination
All Science Classification Codes (ASJC)
Control and Systems EngineeringCivil and Structural EngineeringBuilding and Construction
Abstract
The potential of blockchain is being widely explored within the construction industry, particularly for transparent communication and information sharing. However, only limited research has focused on implementing blockchain to address the challenge of aligning conflicting interests among independent agents, specifically, supply chain coordination. This paper develops a blockchain-enabled supply chain coordination system that facilitates the alignment of diverse decisions made by stakeholders in an off-site construction supply chain. To achieve this goal, Bayesian updating is employed to estimate the probabilistic distribution of plan reliability, enabling the calculation of a supplier rebate that incentivizes the contractor to schedule deliveries aimed at minimizing joint supply chain costs. Additionally, the paper describes a blockchain-enabled system that allows practitioners to measure plan reliability. The research findings demonstrate that the blockchain-enabled supply chain coordination system fosters shared common knowledge among project stakeholders and facilitates real-time updates of changes in the contractor's plan reliability, aligning the interests of both the supplier and contractor.
ISSN
0926-5805
Language
eng
URI
https://dspace.ajou.ac.kr/dev/handle/2018.oak/33622
DOI
https://doi.org/10.1016/j.autcon.2023.105061
Fulltext

Type
Article
Funding
This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korean Government (MSIT) (No. NRF-2022R1A6A3A03069181 ).
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Rhee, Byong-Duk Image
Rhee, Byong-Duk이병덕
Department of Business Administration
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