Industrial production (Illustration), Photo: Shutterstock
Artificial intelligence (AI) has enormous potential to transform the manufacturing sector, bringing greater automation, efficiency and precision to manufacturing processes. Through technologies like machine learning, predictive analytics and robotics, AI enables companies to improve their production lines, reduce costs and improve product quality.
Predictive maintenance
One of the most important applications of AI in manufacturing is predictive maintenance. Instead of servicing machines according to a predetermined schedule, AI systems can analyze performance data in real time and predict when a breakdown will occur. This approach not only reduces unnecessary maintenance costs, but also prevents production downtime, as breakdowns can be predicted and prevented before they happen.
By applying machine learning and IoT (Internet of Things) technologies, AI can monitor various parameters, such as vibration, temperature and energy consumption, to identify patterns that indicate potential problems.
Optimization of production lines
AI enables the optimization of production lines through real-time data analysis. Algorithms can monitor the performance of machines and production processes and automatically adjust parameters to increase efficiency and reduce waste. For example, AI can optimize the speed of machines, adjust material consumption or reorder production tasks to achieve optimal productivity.
Such automation reduces the need for human intervention, leading to faster and more efficient production processes. Additionally, AI helps reduce manufacturing errors, which improves product quality and lowers costs for companies.
Robotic automation
Robotic automation is one of the key segments of AI application in production. Using advanced AI systems, robots can perform complex tasks, such as assembly, packaging and quality control, with much greater precision than humans. These robots learn from each task, becoming more efficient over time, and can work 24 hours a day, significantly increasing productivity.
In Bosnia and Herzegovina, the application of AI in robotic automation is still in its early stages, but it has huge potential, especially in sectors such as the automotive industry and electronics.
Challenges of applying AI in production
While AI brings many benefits to manufacturing, as with other industries, there are challenges. The cost of implementing advanced AI technologies can be high, especially for smaller companies. Also, there is a need to adapt the workforce to new technologies, which means investing in training and education of employees.
Data and infrastructure security is also a challenge, as production systems become increasingly connected, making them vulnerable to cyber attacks. Companies must ensure that their AI systems are adequately protected to prevent potential threats.
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Source: www.vijesti.me
