AI is the key-driven tool for manufacturing management
As you know, manufacturing is the very first industry that tries to use advanced technology in their working processes, such as using machines and robots in the production process and also using software to enhance the production planning process, for the purpose of producing products faster and gaining more product volume while also managing costs to increase business profit. Nowadays, AI and data have stepped in to play an important role in every industry. Therefore, it is not surprising that the manufacturing industry is considering using AI as well.
In this way, AI plays a vital role in helping manufacturing deal with common problems, such as shortages of goods and manpowers, as well as the mistake of production planning that doesn’t keep up with the fluctuation of other factors, including market price, demand, and popularity. So, this is where AI can use data analytics to forecast demand and predict the outcome in real time. For example, AI can predict what will happen if you want to change the style or sizing of your products. Will it have any effect on production volume or purchasing orders in the future? These will help business owners and management teams foresee business direction clearly and use the results to plan and help businesses make strategic decisions efficiently.
Another interesting example of using AI-powered cameras together with machine learning for controlling and quality checking comes from 3B-fibreglass, a fiberglass company, which had a problem with broken products at a certain point in the process. Normally, we would use manpower for this process, which requires a large number of people and is time-consuming. Therefore, 3B-fibreglass considered using AI to investigate what happened. AI found the common patterns in the broken problems and could predict when a break would occur, which allowed the manufacturer to be aware of and fix the root cause of this problem in a timely manner.
There are various benefits of using machines, software, and IoT for manufacturing. But it is a double-edged sword in terms of cybersecurity, such as computer viruses, which lead to damage to the production process and equipment that you invested in, and also the data security issues caused by data leaks and phishing. This is an area where AI can assist in monitoring and predicting the likelihood of a cyberattack on cloud services, servers, and IoT devices, allowing us to prevent and stop the damage in seconds.
With these cases and examples mentioned above, it is proven that using AI for manufacturing is the key change for businesses, which leads you to enhance and accelerate your business in terms of quality and safety processes. Therefore, the faster you consider using AI, the more chance you have of being the leader in the industry.