The implementation of artificial intelligence in the manufacturing industry: Manufacturing execution systems and supply chain integration

Kilari, Sai Dhiresh (2025) The implementation of artificial intelligence in the manufacturing industry: Manufacturing execution systems and supply chain integration. World Journal of Advanced Research and Reviews, 25 (2). pp. 2568-2570. ISSN 2581-9615

Artificial intelligence (AI) is poised to significantly transform the manufacturing industry, with its integration into various processes such as manufacturing, decision-making, and logistics. This paper explores critical areas where AI is being and can be applied: Manufacturing Execution Systems (MES), Supply Chain Management (SCM), Challenges of AI Implementation in Manufacturing and Future Potential of AI in Manufacturing. In the context of MES, AI can optimize production processes, improve real-time monitoring, and enhance decision-making capabilities. Similarly, AI’s impact on SCM is evident through improved forecasting, inventory management, and supply chain visibility. This paper aims to examine the potential applications and explore the opportunities AI offers in these domains, highlighting the ways in which it can revolutionize traditional manufacturing practices. Through a detailed analysis, we identify how AI-driven innovations could reshape manufacturing operations, enhance efficiency, and contribute to the future of the industry. However, challenges such as high implementation costs, information security concerns, and resistance from workers need to be addressed to fully realize AI’s potential. By overcoming these obstacles, AI can redefine the future of manufacturing, making it smarter, more efficient, and sustainable. Reducing manufacturing costs through AI-driven innovations will be crucial for the industry in the near future.