The Industrial revolution has been a key driver of efficiency in industrial manufacturing over the last century. However, with the increasing digitisation of industrial equipment and the rise of artificial intelligence (AI) on the shop floor and factory floor, we are entering a new revolution.
Added value of artificial intelligence
AI scales from one machine to the entire manufacturing line and supply chain. It revolutionizes manufacturing by expanding the level of detail we focus on.
The first is to connect factories for visibility. AI plays a role in contextualizing acquired data and creating a digital twin of a factory. In the next stage, the data is used to analyze causes and effects. The data also predicts what will happen when AI, machine learning and simulation are used to increase productivity. In the third phase, this shift is more towards normative functionality, driving optimized operations and leading to autonomous systems.
The first step is to collect and understand dark data. The AI can then evaluate and analyze the data to improve efficiency, make useful predictions, and provide insights on how to further improve quality and reliability.
Collaborate effectively with employees
In short, collaboration optimizes the value that people bring by extending their visibility and control. People are a necessary part of an AI-based production line. It also strengthens people and accelerates their learning. Develop "AI coaches "to develop and improve their workforce. Return to complexity and change
One of the main trends seen in the development of AI is the shift from consistency to variation. In some ways, the more simplified and consistent the production line, the less elastic it is.
From the machine to the factory floor to the supply chain
Machine-level analysis is limited in scope to capture system-wide effects. The more complex the system, the greater the amplification of systemic effects as they occur. It is now possible to use AI not only to optimize the cutting path or robotic assembly of a single station, but to optimize the entire production line and the interdependencies between each stage.
These insights can also extend beyond the factory as long as you have access to the relevant data. The AI can identify bottlenecks in component implementation. At a higher level, AI can make predictions about the entire supply chain. Supply blue can be more difficult to predict because you may not have enough supplier data. However, times are coming when your customers may ask you for detailed production line information so that they can predict that you will deliver on time.
Human factor: Trust
This highlights the cornerstone of AI: trust. Because once you bring human employees into the loop, you have to think about trust. Because AI doesn't necessarily improve efficiency, quality, or reliability if the people working with it don't trust its recommendations.
The future of industrial artificial Intelligence
AI is a powerful technology that enhances people, skills, and workflow. AI makes it possible to bring complexity and variability back into the production line without losing the benefits of automation. Manufacturing companies can improve product quality while reducing testing and production costs.
AI has also facilitated a higher level of collaboration between humans and machines. And you don't need to plan for sustainability separately, because when you increase efficiency and optimize your operations, you automatically reduce power consumption and other waste.
It is important to note that the trends and impact of AI on industrial manufacturing will vary depending on where you do business. Not every part of the world is dealing with a "labor shortage," and the problem of well-trained labor varies widely among the United States, Europe and Asia. While AI technology is advancing at an astonishing rate, it is getting more accessible every year.
To that end, software and tools will play a bigger role in the future of artificial intelligence. However, the industrial world requires long-term reliability and stability of tools. We can't change every six months. Over time, AI will become more powerful and easier to use.
