Application of Artificial Intelligence and Machine Learning in Modern Engineering Management

Abstract

The rapid advancement of Artificial Intelligence (AI) and Machine Learning (ML) is transforming modern engineering management by enabling intelligent decision-making, predictive analytics, and automation across complex engineering systems. Traditional engineering management approaches often struggle to cope with large-scale data, uncertainty, and dynamic project environments. This article examines the application of AI and ML in key engineering management functions, including project planning and scheduling, risk assessment, quality management, supply chain optimization, resource allocation, and sustainability management. Using an applied science and management perspective, the study presents conceptual frameworks, practical applications, comparative tables, and illustrative charts to highlight the benefits and challenges of AI-driven engineering management. The findings suggest that AI and ML significantly enhance efficiency, accuracy, and resilience, making them essential tools for managing modern engineering projects in the era of Industry 4.0 and beyond.