OPENAPI-BASED INTEROPERABILITY FRAMEWORK FOR INTELLIGENT MANUFACTURING AND INDUSTRIAL DIGITAL TWIN PLATFORMS

Abstract

The rapid development of intelligent manufacturing environments has increased the demand for seamless interoperability among heterogeneous industrial machines, Industrial Internet of Things devices, cyber-physical production systems, enterprise applications, cloud services, analytical engines, and Digital Twin platforms. Despite significant progress in Industry 4.0 technologies, many manufacturing organizations continue to operate fragmented software ecosystems in which machine data, process information, maintenance records, quality indicators, simulation models, and business applications are distributed across incompatible interfaces and proprietary communication structures. This paper proposes an OpenAPI-based interoperability framework for intelligent manufacturing and industrial Digital Twin platforms. The framework applies standardized API descriptions, reusable service contracts, machine-readable interface specifications, semantic data mapping, secure API gateways, event-driven integration, edgecloud connectivity, Digital Twin synchronization, and intelligent analytical services to establish consistent communication across heterogeneous industrial environments. The proposed approach organizes interoperability into physical asset connectivity, Industrial Internet of Things data acquisition, edge processing, canonical information modeling, OpenAPI contract management, API gateway coordination, Digital Twin services, analytical intelligence, manufacturing application integration, and governance layers. OpenAPI specifications are used to describe endpoints, request structures, response schemas, authentication requirements, service versions, error conditions, and operational metadata so that manufacturing services can be discovered, validated, integrated, and maintained more systematically. The framework further supports real-time synchronization between physical industrial assets and their Digital Twin representations by standardizing interfaces for telemetry ingestion, state retrieval, event notification, simulation invocation, predictive maintenance, process optimization, and control recommendations. A representative analytical evaluation is presented to examine interoperability performance across integration time, API response latency, successful transaction rate, data consistency, Digital Twin synchronization delay, service reuse, fault recovery, and engineering effort. The results demonstrate that the proposed OpenAPIcentered approach can reduce integration complexity, improve interface consistency, accelerate service onboarding, and support scalable industrial Digital Twin ecosystems. The study concludes that standardized API contracts combined with semantic mapping, secure gateway management, event-driven communication, and Digital Twin orchestration provide a practical foundation for flexible, intelligent, and interoperable manufacturing systems.