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<p>Resilience is a critical requirement for Industry X.0 production systems, yet practical frameworks and architectures for its operational implementation remain limited. Existing approaches predominantly adopt an engineering resilience perspective, focusing on rapid recovery to a single optimal steady state, without systematically linking component-level capabilities to system-wide operational performance. This paper presents a Service-Oriented Architecture for resilience in Internet of Things (IoT)-enabled factories, grounded in socio-ecological resilience principles. Production system operation is represented through multiple equilibrium states characterised by discrete service levels, enabling adaptive and graceful responses to disruptions rather than total operational collapse. A formal mathematical model underpins a four-layer architecture that explicitly decouples physical component management from service delivery, linking the production system, 4.0-component management, service management, and system-wide resilience visualisation through a stability landscape. This landscape enables the quantification of resilience through three measurable aspects — Latitude, Resistance, and Precariousness — adapted from socio-ecological system theory. The architecture is illustrated through a Surface-Mount Technology line example and validated on a real-world IoT deployment in an e-coating ultrafiltration system, demonstrating its ability to support resilience assessment, graceful degradation planning, and informed decision-making in complex industrial environments.</p>

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A service-oriented architecture for resilient integration of Internet of Things in Industry X.0

  • 期刊论文

  • 发表日期：

    2026年8月4日

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  • Hector Hostos,
  • Virginie Goepp,
  • Patrick Sondi,
  • Lala Rajaoarisoa

摘要

Resilience is a critical requirement for Industry X.0 production systems, yet practical frameworks and architectures for its operational implementation remain limited. Existing approaches predominantly adopt an engineering resilience perspective, focusing on rapid recovery to a single optimal steady state, without systematically linking component-level capabilities to system-wide operational performance. This paper presents a Service-Oriented Architecture for resilience in Internet of Things (IoT)-enabled factories, grounded in socio-ecological resilience principles. Production system operation is represented through multiple equilibrium states characterised by discrete service levels, enabling adaptive and graceful responses to disruptions rather than total operational collapse. A formal mathematical model underpins a four-layer architecture that explicitly decouples physical component management from service delivery, linking the production system, 4.0-component management, service management, and system-wide resilience visualisation through a stability landscape. This landscape enables the quantification of resilience through three measurable aspects — Latitude, Resistance, and Precariousness — adapted from socio-ecological system theory. The architecture is illustrated through a Surface-Mount Technology line example and validated on a real-world IoT deployment in an e-coating ultrafiltration system, demonstrating its ability to support resilience assessment, graceful degradation planning, and informed decision-making in complex industrial environments.