Transforming Modular Construction Supply Chains: Integrating Smart Contracts and Robotic Process Automation (RPA) for Enhanced Coordination and Automation

Although existing models and theories have explained systemic behaviors such as demand amplification and disruption propagation, practical challenges in Modular Construction Supply Chains (MCSC) remain unresolved due to production heterogeneity, geographic dispersion, and conflicting stakeholder interests. In addition, the lack of digital infrastructure and process-level data integration continues to hinder the development of automation and intelligent decision-making. To address these issues, this study develops an MCSC coordination system informed by industrial input. The system features a novel dual-engine architecture that integrates blockchain-enabled smart contracts and Robotic Process Automation (RPA). It also incorporates a practice-oriented approach to MCSC Supply Batch (MSB)-based management, using industrial insights to define the MSB as the fundamental coordination unit in process execution. The automatic triggering mechanism enabled by MSBs and dual-engine enables task-to-task transitions while maintaining traceability and operational clarity across supply chain nodes. A real-world case study validates the effectiveness of the proposed system in enhancing traceability, automation, and stakeholder collaboration within MCSC environments.

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Publication Details

Journal
Applied Sciences
Published
2025-10-31
DOI
https://doi.org/10.3390/app152111670
Citations
1
Primary Topic
Robotic Process Automation Applications
Type
article
Field-Weighted Citation Impact
1.24
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article

Transforming Modular Construction Supply Chains: Integrating Smart Contracts and Robotic Process Automation (RPA) for Enhanced Coordination and Automation

Yan Liu, Ningshuang Zeng, Xuling Ye, Qiming Li
1 citations
Applied Sciences
Robotic Process Automation Applications
1.24
article

Transforming Modular Construction Supply Chains: Integrating Smart Contracts and Robotic Process Automation (RPA) for Enhanced Coordination and Automation

Yan Liu, Ningshuang Zeng, Xuling Ye, Qiming Li
article en
1 citations

Abstract

Although existing models and theories have explained systemic behaviors such as demand amplification and disruption propagation, practical challenges in Modular Construction Supply Chains (MCSC) remain unresolved due to production heterogeneity, geographic dispersion, and conflicting stakeholder interests. In addition, the lack of digital infrastructure and process-level data integration continues to hinder the development of automation and intelligent decision-making. To address these issues, this study develops an MCSC coordination system informed by industrial input. The system features a novel dual-engine architecture that integrates blockchain-enabled smart contracts and Robotic Process Automation (RPA). It also incorporates a practice-oriented approach to MCSC Supply Batch (MSB)-based management, using industrial insights to define the MSB as the fundamental coordination unit in process execution. The automatic triggering mechanism enabled by MSBs and dual-engine enables task-to-task transitions while maintaining traceability and operational clarity across supply chain nodes. A real-world case study validates the effectiveness of the proposed system in enhancing traceability, automation, and stakeholder collaboration within MCSC environments.

Applied SciencesVol. 15(21)
Southeast University (CN), Nanjing University (CN), Ruhr University Bochum (DE)
Openalex Percentile: Top 14%
Robotic Process Automation Applications
1.24
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Transforming Modular Construction Supply Chains: Integrating Smart Contracts and Robotic Process Automation (RPA) for Enhanced Coordination and Automation — Yan Liu, Ningshuang Zeng, et al. · Applied Sciences (2025) | TGRS Research Map | TGRS