"Application of AI in MANUFACTURING"
In no other sector is artificial intelligence having more of an impact than on manufacturing, and the revolution is just beginning
The manufacturing industry is expected to continue to grow in the next few years, despite all the challenges. Apart from the instability in both national and international economic conditions, there are also various internal challenges faced by manufacturers. Any manufacturer would want to increase their ROI, however Inventory Management and demand forecasting are still few of the main challenges in the manufacturing industry. Another challenge often faced by manufacturers is managing the machinery with highest operational efficiency and prioritizing sales leads. Up until now, manufacturers have been looking for effective ways to reduce costs and improve efficiency at their plants.
How AI can help?
For decades, manufacturing companies have been upgrading their plants with distributed and supervisory control systems and, in some cases, advanced process controls. With respect to operational improvement and dynamic adaptability, artificial intelligence can outperform conventional decision-support technologies. Real-time monitoring provides many benefits, including troubleshooting production bottlenecks, tracking scrap rates, meeting customer delivery dates, and more. Also, AI enables companies to cost-effectively create and maintain their own algorithms and intellectual property in-house, which is cheaper, more versatile, and more adaptive to constantly changing equipment and market conditions.
Detects Faults: Manufacturers face challenges with machinery/product failures in many ways. A product might look perfect from outside, but it may damage once we use it. Yes, it happens to machinery, and leads huge loses to manufacturers. With the availability of vast data on how the products are tested and how they function, artificial intelligence-based tools and machines identifies the specific areas that need to be tested efficiently.
Machinery Predictive Maintenance: Predictive maintenance allows companies to predict when machines need maintenance with high accuracy, instead of guessing or performing preventive maintenance. Predictive maintenance prevents unplanned downtime and allows manufacturer to avoid device damage overheads. Machine Learning is one of the outmost technologies that can prevent unplanned downtime.
Quality Check & Control: Manufacturing requires acute attention to detail and some internal defects cannot be found easily with naked eyes. Thanks to artificial intelligence and machine learning technologies, they can detect smallest flaws in machinery. Using intelligent algorithms, smart machines can continuously monitor the productivity of machinery and spots failures, if any.
Optimize Supply Chain: Use of Artificial Intelligence in the supply chain management is rapidly increasing. Machine learning, natural language processing, computer vision, robotics and speech recognition are making supply chain management tasks smarter. It establishes a strong communication channel among departments (internal & supplier communications), intelligent tools and apps can optimize the warehouse management and logistic operations. From product storing to delivery and receiving, everything can be analysed using AI. Artificial Intelligence is one of the most significant technologies that is used for managing supply, demand, and inventories.
Generative Design: In addition to facilitating the manufacturing process, AI can help organizations design products. These algorithms then explore all the possible permutations of a solution and generate design alternatives. Finally, it uses machine learning to test each iteration and improve upon it.
Why choose us?
Artificial Intelligence (AI) in manufacturing shows the greatest positive impact when compared to other industries. With documented success, why then are so many manufacturers slow to get onboard the AI train?
According to experts, 56% of manufacturers are planning to invest on AI by 2025 and expecting a revenue boost of around 40%.
We at RadomeTech believe AI is crucial for every business entity. Thus, we have a developed a tool which lets the user have the power of Artificial Intelligence and Machine Learning !