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Intelligent Machines for Industrial Production: Here is All That You Need to Know

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If you have a manufacturing facility, your focus should always be on improving the processes, growing production, and moving to the next level. One way of achieving this is using intelligent machines. The next generation industry is anchored on adopting intelligent machines to increase flexibility, facilitate mass customization, and guarantee better quality. This is why you should not be left behind as others make the big shift, but what do you need? Here is everything you need to know.

What are Intelligent Machines?

An intelligent machine is any device that can be used to accomplish a task in the presence of variability and uncertainty in the environment. In manufacturing, the machines can monitor the immediate environment and auto-adjust based on what it has detected. If you take the example of a boiler, the intelligent machine might take action such as opening valves to release pressure, stop or initiate another predetermined action.

Intelligent machines work with programmable logic controllers and sensors that form part of the intelligent manufacturing system. The system integrates human abilities, machines, and processes to attain the best possible manufacturing outcome.

Another important part of intelligent machines is artificial intelligence. This is a type of software designed to help machines engage in human-like activities, such as learning, problem-solving, and planning. The machines can learn and ultimately act like humans using advanced computing algorithms. Intelligent machines can be applied in individual machines or systems, such as the management of conveyor belt systems, material handling machines, and machining. Make sure to have an appropriate program for machine learning and AI application for your intelligent machines to work.

Key Reasons of Intelligent Machines

There are many reasons why you should consider using intelligent machines and machine learning in your facility. Here are some of them.

  • Defect Detection

Today, many processing and assembly facilities work with no systems or technologies for identifying effects on the production line. To identify defects and issues in their facilities, they rely on regular inspections by technicians. However, this can be risky because most issues are likely to be noted when the damage has happened. Intelligent machines are used to address this risk.

Intelligent machines learn from the gathered data and will notice when deterioration in a machine is noted. Even if it is just the decline in RPM for your motor, pump or bearing, it will be noted immediately, prompting you to take corrective actions before breakdown. It is the best way to run your system with minimal or no downtime.

  • Quality Assurance

In manufacturing, you must have strict attention to detail. Whether it is a chemical processing or machining equipment, it must be highly efficient and consistent. Here, intelligent machines help to eliminate the errors that are common with humans. No matter the industrial process, whether creating new bolts or cutting metal with a lathe machine, intelligent equipment guarantees high-quality all the time. This also means higher production efficiency and waste reduction.

  • Production Line Optimization

When you combine intelligent machines with your facility's IoT ecosystem, it will generate a wealth of data that is critical for automation. If a section of the production system is underperforming, the system can trigger a contingency plan, including reorganization. For example, production can be directed to the high-performance system to meet the targeted output while the damaged section is under repair. Note that since the issues are noted early enough, even repairs will be easy, fast, and affordable.

Whether your manufacturing facility is new or has been in operation for some time, it is paramount to consider the adoption of intelligent machines. In addition to the above purposes, intelligent machines, automation, and machine learning are crucial in cutting down the cost of production. It is time to get smart, and the first step is using intelligent machines.