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Top 5 Cases to Use AI in Manufacturing

Artificial Intelligence and machine learning continue to be the greatest driving forces powering the manufacturing industry today.

Over 60% of manufacturing companies have already adopted AI technology to increase operational efficiency, reduce downtime, and deliver high-quality products that meet unique consumer demands.

According to Global AI in Manufacturing Market Trends, the market is projected to reach $16.7 billion by 2026, registering a CAGR of 57.2% during the forecast period.

Here, we have compiled the 5 best applications of AI in electronics manufacturing that will shape the industry shortly.

Top 5 Uses Cases of Artificial Intelligence in the Manufacturing Industry

The applications of AI in the field of manufacturing are widespread and revolutionary. It has radically changed how products are designed, offering actionable insights into each level of designing and manufacturing.

This helps identify bottlenecks, address the issues, and deliver flawless end products. Discussed here are the top 10 uses of Artificial Intelligence in manufacturing.

1. Helps Predict Failure in Designs

Machinery failures are commonplace in the manufacturing industry, resulting in increased downtime, higher costs, and delayed time to market. Inability to detect failures in advance can even affect the quality and performance of end products.

Here lies the importance of Artificial Intelligence in the field of manufacturing. Through predictive learning, AI enables identifying product or equipment failures well in advance to prevent major breakdowns in the future. This helps cut down downtime, reduce cost in idle time, and ensure improved productivity.

2. AI for Quality Assessments in Product Manufacturing

When you manufacture a product or use equipment to streamline operations, it is difficult to detect its internal problems. By merely observing the functionality of a product, often experts fail to identify the flaws. And this can be detrimental in manufacturing, resulting in major faults in the product or the process.

Artificial Intelligence and Machine Learning combine human intelligence with robust technologies to bring revolutionary changes in how manufacturing operations are conducted.

For instance, AI can identify even minor faults in machinery or product, giving designers the option to address the same before it could become a major flaw.

This helps in improving the overall product quality and performance of the end product. This is the primary reason why many manufacturing companies today use AI-powered automation and robust tools to detect flaws in the process or defects in the product design. Through in-depth quality testing using AI, manufacturers ensure high-quality products with faster time to market.

3. Aids in Predictive Maintenance

A single fault in equipment can significantly disrupt the entire production line, increasing downtime, and overall costs. Therefore, proper and timely maintenance of the machinery is crucial. Unfortunately, this is often overlooked unless a major breakdown happens.

To address these challenges, manufacturing units now deploy ML-powered predictive tools and AI solutions that can predict when equipment needs periodic maintenance. In certain scenarios, IoT and cloud sensors are embedded in equipment, which helps predict timely maintenance. This further ensures overcoming major equipment issues that may arise in the future.

Implementing AI-powered manufacturing solutions can help automate processes, allowing manufacturers to build smart operations that can reduce cost overheads and downtime.

4. Effective Demand and Price Forecasting

AI systems use predictive analysis and combine it with human intelligence to forecast the demand for products and pricing efficiently. It will collect data from different sources and analyze these thoroughly to make accurate predictions.

5. Inventory Management

Inefficiency in inventory management can result in significant cost overheads for the manufacturing company. Using AI tools allows manufacturers to manage their order records and add/delete new inventories. Machine Learning plays an integral role here to manage inventories based on demand and supply.

Artificial Intelligence is powering manufacturing processes in radical ways. Transform your operations, improve product quality, and reduce costs with AI.

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