Machine Learning Revolutionizing the Manufacturing Machine

May 12, 2018

manufacturing Industries

Artificial intelligence and machine learning have been making headlines for topics like driverless cars, predictive texts, personal assistants, and gaming. Although not much discussed, machine learning has been bringing about landmark changes in the area of industrial manufacturing. The manufacturing industry is always on the lookout to improve productivity and efficiency. They want to go beyond the gains achieved by automation and build on top of that. Machine learning’s core technologies do align seamlessly with complex manufacturing problems. Numerous algorithms are being developed which seek to learn continually and bring about optimizations in the manufacturing plant. So how will machine learning revolutionize the manufacturing industry?

Increased Production Capacity and Decreased Material Consumption

Smart manufacturing systems make use of machine data including production capacity, daily production, and machine load. Such data is essential to perform a predictive data analysis, which uses machine learning to know the ideal production capacity and decrease the rate of material consumption.

Contact our analytics experts to know more about the use of machine learning in the industrial manufacturing sector and artificial intelligence.

Predictive Maintenance

Today, more and more companies are integrating their machine learning databases, apps, and algorithms into the cloud platform. Data generated from industrial equipment can be fed to predictive algorithms, which will then be assessed by remote experts. Such data is essential to generate predictive models to alert the local technician to perform a precautionary check and prevent any sudden machine downtime.

Improved Supply Chain Management

The modern supply chain generates a massive amount of data. It is humanly impossible to analyze such data, so experts turn towards AI and machine learning to organize it into useful bits and pieces. AI and machine learning make it easier for companies to adapt to dynamic market conditions. As a result, many vendors have been providing cloud-based supply chain management solutions, which collect and analyze data from different sources, including weather forecasts, historical data, news feed, and social media. Such data can be processed to enhance performance in all areas of the supply chain including transportation, warehousing, packaging, customer feedback, and production.

Focus on Customers

The customer is the king. It comes as no surprise that companies are aligning their business processes to address the needs of the customer. AI and machine learning can deliver exactly what people demand; thus, allowing for a high level of customization. Such technologies allow companies to build smart manufacturing processes that can seamlessly adapt to changing customer demands. Additionally, companies can collect data from smart homes to understand the latest consumer trends and design products accordingly.

Quality Control

Players across the manufacturing industry are pouring big chunks of money into machine-learning-based quality assurance. Till today, companies rely on sensors and computers to remove low-quality products from their assembly line. Machine learning will provide seamless quality control over the entire manufacturing process. Manufacturers can easily identify defects with efficiency and accuracy, and thus optimize their production and maintain customer satisfaction.




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