AI-DRIVEN ADAPTIVE MANUFACTURING SYSTEMS: AN ENTERPRISE ARCHITECTURE FRAMEWORK FOR COGNITIVE MANUFACTURING

Abstract

The enterprise architecture framework for integrating artificial intelligence in manufacturing systems establishes a foundation for creating adaptive and self-optimizing production environments. The framework tackles fundamental challenges in data integration, model deployment, real-time decision-making, human-AI collaboration, and safety protocols while ensuring operational stability. Through implementation across diverse manufacturing facilities, substantial improvements emerge in production efficiency, quality control, energy optimization, and predictive maintenance capabilities. Detailed insights into architectural components illuminate the path to successful AI integration, encompassing data source integration, model training pipelines, decision engine architectures, operator interface design, and reliability engineering practices. Implementation results validate the framework's effectiveness in enhancing manufacturing operations while maintaining rigorous safety and compliance standards.