Manufacturing products can be a costly and complex process if you don’t have the right tools and resources. Machine learning (ML) has become more prevalent in producing and assembling items — helping to reduce cost and time of production. Examples and industrial applications of ML in manufacturing include factors like minimizing equipment failures and optimizing supply chain management.


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One of the most important devices in industrial machine learning processes is a programmable logic controller (PLC). A PLC is a digital computer with very specialized purposes, uniquely designed for specific industries. The most common application of a PLC is for managing automated processes and machine controls. In this blog, we’ll show you how ML can enhance your manufacturing processes.

According to a report by Global Market Insights , global machine learning in manufacturing will skyrocket from US $1 billion in 2018 to US $16 billion by 2025

 

Why Machine Learning Is Important for Your Manufacturing Business

Revamping Quality Control

Workers have to assess products on an assembly line to spot defects and errors. This is overwhelming, and workers can end up losing focus.

ML revamps quality control by introducing algorithms that visually inspect products to identify flaws more quickly during the manufacturing process.

Predicting Maintenance Needs

Generally, you’d conduct maintenance once a problem occurs in order to avoid the high cost of taking equipment offline to have it manually checked for potential problems. This can end up costing you a lot of time and money in the long run.

ML identifies the ideal time to conduct maintenance, and frees you from the costly and stressful speculations you’d have to make. This helps you predict when equipment breakdowns are likely to occur so that you can repair them on time.

Optimizing Supply Chain Management

Reliable supply chains are essential for any manufacturing business, including yours. The change in fuel prices, a slight change in weather patterns, or damages to courier transportation can severely impact your supply chains and your business as a whole.

ML optimizes the many factors and elements of your supply chain to make the best decision for your business. It helps you decide on the best time to ship products based on weather pattern predictions and many other potential problems that may arise.

Conclusion

Machine learning (ML) is evolving at a rapid pace. The flexibility and affordability of ML technology are in fact what explains its rise in popularity. ML in industrial automation can benefit you in many ways: it can revamp your quality control during the manufacturing process, predict your maintenance needs, and optimize your supply chain management. Winjit Technologies has experience working with manufacturing organizations and can help you implement ML in your business. To better understand ML’s potential and how you can harness it for your business, Contact us today.

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