A Health-System Resilience Framework for Emergency Ventilator Production Using Cloud Networks

Abstract

Public health crises can rapidly expose shortages in critical medical equipment, especially when demand for life-support devices exceeds conventional production and procurement capacity. Ventilator shortages during respiratory pandemics show that emergency medical-equipment availability is not only a supply-chain issue but also a health-system resilience challenge. This study develops a case-based methodological framework for emergency ventilator production using cloud manufacturing and intelligent service composition. The framework translates distributed production capacity into a coordinated emergency response structure through five layers: health-demand sensing, cloud manufacturing services, intelligent service composition, resilience and cyber-continuity, and health-system evaluation. The COVID-19 ventilator production case is used to illustrate how hospitals, public health agencies, medical-device manufacturers, universities, military workshops, industrial firms, laboratories, component suppliers, and logistics providers can be coordinated during severe disruptions. The framework integrates redundancy, robustness, adaptive allocation, generative decision support, cyber-resilient migration, and fallback orchestration while emphasizing quality compliance, traceability, human oversight, and equitable distribution. The study contributes to applied health science by reframing emergency production as a socio-technical health-system capability rather than a purely industrial process. Future validation should use hospital demand data, certified production datasets, simulation-based disruption scenarios, and digital twins to evaluate shortage reduction, recovery time, fulfillment rate, and continuity of care.