From Smart Automation to Resilient Production: A Narrative Review and Integrated Architecture for Intelligent Manufacturing Systems

Abstract

Manufacturing systems are increasingly expected to operate as intelligent, connected, and adaptive production environments while maintaining performance under equipment failures, demand shifts, cyber-physical disturbances, and operational uncertainty. Yet the literature on smart manufacturing, cyber-physical production, digital twins, industrial artificial intelligence, reconfigurable manufacturing, smart maintenance, and resilience has largely developed as partially separated streams. This narrative review synthesizes 25 peer-reviewed studies published between 2015 and 2024 to examine how these streams can be integrated into a coherent architecture for intelligent and resilient automated production. The review uses a structured narrative synthesis in which the selected studies are coded by technology, manufacturing level, resilience relevance, resilience dimension, methodological approach, limitation, and architectural role. Three major gaps emerge: fragmentation between intelligence and resilience mechanisms; insufficient closed-loop integration from sensing and prediction to recovery and reconfiguration; and limited operationalization of resilience through comparable metrics, human-centered governance, cybersecurity, and cross-sector validation. In response, the review develops an integrated architecture comprising physical production and reconfiguration, cyber-physical connectivity, digital twin and data infrastructure, AI-enabled prediction and decision support, resilience orchestration, and human governance layers. The synthesis shows that resilience is not produced by any single Industry 4.0 technology. Rather, it depends on coordinated capabilities for visibility, anticipation, diagnosis, adaptation, reconfiguration, maintenance, recovery, and organizational learning. The proposed architecture, therefore, reframes intelligent manufacturing from technology adoption toward a closed-loop resilience capability that links operational data to adaptive action. The paper concludes with a research agenda for measurable, interoperable, secure, and human-centered resilient manufacturing systems.