Abstract

Industrial processes are enhanced through increase in efficiency, automation and data driven decision making by the IIoT and Smart Manufacturing. In IIoT environments, there is need for optimal performance and resource management. These advanced technologies such as AI, ML, and edge computing, better utilize resources, reduce downtime and increase system reliability. However, real time data processing and security are unsolved issues. Latency is the problem that edge and fog computing solves, while energy consumption and green factory manufacturing is the goal of AI. The simulations on proactive monitoring by Digital twins are achieved. Advancements have already been made, yet the interoperability still continues, high costs and the need for skilled personnel remains. To overcome these barriers and obtain the sustainable, efficient manufacturing, both standardization and collaboration are vital.