Enhancing Manufacturing with Artificial Intelligence: An Overview of the Present Situation, Insights, Recommended Practices, Obstacles and Future Trends

The industrial sector is presently experiencing a significant transformation characterized by the integration of intelligent automation fueled by advancements in Artificial Intelligence (AI). This combination significantly boosts operational efficiency and facilitates data-driven decision-making. Such improvements allow for optimal resource distribution and enhance the accuracy of production planning. This paper intends to present the latest trends and ongoing innovations within the AI domain as it pertains to the manufacturing sector. Additionally, the review examines critical applications of AI in manufacturing, including predictive maintenance, quality assurance, process optimization, supply chain management, robotics and automation, as well as intelligent decision support systems. It also addresses the challenges faced by the manufacturing industry while exploring how AI can help alleviate these issues. Moreover, this study provides an in-depth analysis of recent developments in AI technologies such as explainable AI, collaboration between humans and robots, edge computing, and integration with the Internet of Things (IoT). The review concludes with recommendations that underscore best practices and identify potential collaborative opportunities.