Several small and large businesses are adopting digital transformation practices today. With an effective adoption of digital technologies, organizations are preparing themselves for a smarter future. Artificial Intelligence in manufacturing, popularly known as AI is one of the key buzzwords that is currently associated with digital transformation.
The leaders in innovation are constantly working on the next generation AI algorithms to prepare their systems for better resilience. Today, the top manufacturing companies are implementing the AI technologies in their core systems to boost efficiency, productivity, as well as automation.
- Effective Collection of Data from Automated Machines
If Artificial Intelligence in manufacturing was good at just one thing, it would be at the collection of data. Smart AI and big data analytics can work together to collect and process data very quickly. Combination of software engines running on rule-based conditions and Artificial Intelligence algorithms can process huge data sets effectively to derive results that are invisible to the naked eye.
Robotic process automation (RPA) with an overlay of AI capabilities can work in tandem with hardware machines to extract and process data for increased efficiency. The combination can also process data and create a positive feedback loop that can help the human make changes to improve efficiency over time.
- Multi-Variant Analysis of Complex Processes
The processing capability of humans is minimal. Computers, on the other hand, can process huge chunks of data without breaking a sweat. The complexity of the data produced in the manufacturing industry consists of various elements and variables. Handling variables within 2-3 different sets can be done on a simple computer. However, the complexity increases exponentially when the list of variables increases further. In such situations, you need AI.
Artificial Intelligence allows the computer to think cognitively just like a human would to tackle the complex scenarios innovatively. Coupling AI with ML (Machine Learning), allows the computers to think even more efficiently and learn more things over time.
- Exception Handling in Assembly Line Based Processes
Handling exceptions is a key part of the job of a human. However, modern-day enterprises are handing over this job to the computers. They have enabled the computers to think creatively to handle complex exceptions with ease. The modern-day supercomputers with AI functionalities can easily handle core exceptions on the assembly lines to ensure that the process does not stop.
By handling exceptions, AI can increase the overall efficiency of the process and make sure that it runs 24×7 just like it was intended to. This boosts the overall productivity of the assembly line further.
- Testing and Automation of Report Generation
Auditability of the manufacturing process is a key activity that helps organizations with MRP (Material Resource Planning) processes. It also helps in predictive analytics where the humans can prepare for the worst-case scenarios well in advance. The report generation process can be taken over by AI and ML engines completely to ensure accuracy, repeatability, and single source of truth.
The report generation process which typically can take up to several hours every day takes only a few seconds with the effective use of AI.
- Warehouse Automation
Automation of the hardware components can help a manufacturing company reduce labor costs and increase the overall profitability of the company by a significant amount. The primary goal of implementing Artificial Intelligence in manufacturing is to reduce the costs and improve the overall productivity of the company.
Several companies like Amazon have automated an enormous chunk of processes in their warehouses to save time as well as money. Warehouse automation includes the use of AI and ML both on the hardware as well as software fronts. Companies like these are also continually innovating with AI to develop the next generation of software for automation.
AI has infiltrated almost all the different industry verticals today. With time, the cost of developing your own AI will come down significantly. The companies who are implementing AI today will have a competitive edge in the market. This edge will help them grow much faster and prepare for a rainy day more effectively. They will also turn profitable earlier and establish an excellent rapport with the customers.