Development and Strategic Implementation of Artificial Intelligence in Operational Management

Abstract

This research examines the development and strategic implementation of Artificial Intelligence (AI) in operational management within the manufacturing sector. By comparing the extent of AI adoption across various manufacturing activities, the study evaluates the effectiveness of AI strategies in enhancing operational efficiency, reducing costs, and improving production processes. Using a qualitative descriptive analysis method, the research relies on literature studies from reputable journals and articles to explore the role of AI in transforming manufacturing practices. The findings highlight that AI technologies, such as machine learning, predictive analytics, and robotics, significantly contribute to optimizing supply chains, improving product quality, and fostering innovation. However, challenges such as skill shortages, cybersecurity risks, and the need for strategic alignment with organizational goals remain critical barriers to successful AI integration. The study concludes that AI is a transformative tool in manufacturing, offering substantial benefits when implemented with a well-defined strategy, enabling businesses to achieve global competitiveness and sustainable growth.