Revolutionizing manufacturing unleashing AI for enhanced efficiency and resilience

Part design, process design, and execution are only a few of the stages that manufacturing processes include. Traditional scientific computation and data processing techniques are important for automating these steps, but they frequently can’t solve all industrial problems. Human intervention has historically been necessary to solve these problems, but the complexity of today’s production systems is taxing human reasoning capacity. Thankfully, a fresh wave of computational methods is beginning to surface, providing a wider range of applications in addressing these intricate problems. This study presents an Artificial Intelligence (AI) enhanced manufacturing model, emphasizing inefficiencies in traditional computational methods. It then offers a range of interesting AI methods designed to tackle these issues and a plethora of uses for resolving manufacturing-related issues. The goal of this study is to open the door to automation that is more effective and efficient. The research adopts a qualitative research approach to establish a framework and a guideline for transforming traditional manufacturing activities into resilient and agile technology-enhanced processes.