Blockchain-Embedded Service-Level Agreement to Measure Trust in a Frugal Smart Factory Assembly Process

Integrating emerging Industry 4.0 technologies into smart factories has been widely discussed, particularly challenges regarding the practical use of a blockchain; one remaining challenge is the role of a blockchain beyond logistics and traceability, as well as its ability to support explicit trust measurement in real industrial environments. Existing studies often treat trust as a conceptual or cloud-oriented construction, without linking it to measurable production events. This study proposes a blockchain service-level agreement (SLA) to measure trust at an open-source frugal smart factory (SF). Trust is defined as a dynamic quantitative score derived from measurable process events, including estimated and response times, assembly correctness, and transaction outcomes; all of this is calculated through a smart contract implemented on a blockchain network. The approach is implemented in a tangram puzzle assembly process that integrates cyber-physical systems, edge computing, artificial intelligence, cloud computing, data analytics, cybersecurity, and the blockchain within a unified SF architecture. The framework was experimentally validated across four representative assembly scenarios: (i) the SF delivered the puzzle in time and was correctly assembled (λs = 0.1734), (ii) the puzzle was completed within tolerance time (λs = 0.0649), (iii) the puzzle was delivered on time and was incorrectly assembled (λs = 0.0005), and (iv) the puzzle was completed outside the tolerance time and was correctly assembled (λs = 4.91 × 10−5); demonstrating that the model accurately estimates expected assembly times and updates trust without manual intervention during a physical manufacturing task, addressing the limitations of prior conceptual and cloud-based approaches. The main research contributions include an operational SLA-based trust model, the demonstration of the feasibility of applying blockchain-based SLAs in a physical SF environment, and evidence that a blockchain can be justified as a mechanism for managing and measuring trust in SF, rather than solely for traceability or logistics.

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Publication Details

Journal
Automation
Published
2026-01-09
DOI
https://doi.org/10.3390/automation7010017
Primary Topic
Digital Transformation in Industry
Type
article
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article

Blockchain-Embedded Service-Level Agreement to Measure Trust in a Frugal Smart Factory Assembly Process

Froylán Cortés-Santacruz, Luis Antonio Carrillo-Martinez, Jesús Anselmo Fortoul-Diaz, Juan Daniel Marin-Segura et al.
Automation
Digital Transformation in Industry
article

Blockchain-Embedded Service-Level Agreement to Measure Trust in a Frugal Smart Factory Assembly Process

Froylán Cortés-Santacruz, Luis Antonio Carrillo-Martinez, Jesús Anselmo Fortoul-Diaz, Juan Daniel Marin-Segura, Javier Cuatepotzo-Hernández
article en

Abstract

Integrating emerging Industry 4.0 technologies into smart factories has been widely discussed, particularly challenges regarding the practical use of a blockchain; one remaining challenge is the role of a blockchain beyond logistics and traceability, as well as its ability to support explicit trust measurement in real industrial environments. Existing studies often treat trust as a conceptual or cloud-oriented construction, without linking it to measurable production events. This study proposes a blockchain service-level agreement (SLA) to measure trust at an open-source frugal smart factory (SF). Trust is defined as a dynamic quantitative score derived from measurable process events, including estimated and response times, assembly correctness, and transaction outcomes; all of this is calculated through a smart contract implemented on a blockchain network. The approach is implemented in a tangram puzzle assembly process that integrates cyber-physical systems, edge computing, artificial intelligence, cloud computing, data analytics, cybersecurity, and the blockchain within a unified SF architecture. The framework was experimentally validated across four representative assembly scenarios: (i) the SF delivered the puzzle in time and was correctly assembled (λs = 0.1734), (ii) the puzzle was completed within tolerance time (λs = 0.0649), (iii) the puzzle was delivered on time and was incorrectly assembled (λs = 0.0005), and (iv) the puzzle was completed outside the tolerance time and was correctly assembled (λs = 4.91 × 10−5); demonstrating that the model accurately estimates expected assembly times and updates trust without manual intervention during a physical manufacturing task, addressing the limitations of prior conceptual and cloud-based approaches. The main research contributions include an operational SLA-based trust model, the demonstration of the feasibility of applying blockchain-based SLAs in a physical SF environment, and evidence that a blockchain can be justified as a mechanism for managing and measuring trust in SF, rather than solely for traceability or logistics.

AutomationVol. 7(1)
Instituto Tecnológico de Puebla (MX), Tecnológico de Monterrey (MX)
Industry, innovation and infrastructure
Openalex Percentile: Top 94%
Digital Transformation in Industry
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