Groundbreaking benefits of Machine Learning for Manufacturing

Groundbreaking benefits of Machine Learning for Manufacturing

See What are Groundbreaking benefits of Machine Learning for Manufacturing

Is Machine Learning Adapt The Manufacturing Industry?

In our BLOG STOP page, we already explained the following topics,

All of the above information blogs focus on helping the reader learn how to achieve exact business results using Artificial Intelligence and other emerging technologies.

Now, we will discuss how Machine Learning (ML) in the manufacturing industry automates processes. This article may give a few insights into developing technologies for manufacturers. Let’s move on to the topic.

The role of machine learning in manufacturing

Though the concept of Artificial Intelligence has been in the market for decades, now, it’s gaining momentum. It is a valuable asset to many industries. Using AI, the companies are observing smart business processes.

It does not matter how they use AI for manufacturing, but AI and ML help businesses create smart business strategies.

Yes. Smart technologies are like gears for modern manufacturing industries. Moreover, AI & ML are playing a vital role in the manufacturing industry. They help manufacturers in finding new business ways that optimize existing operations.

The manufacturing industry always needs new ways in the design and development of equipment’s/products. AI and Groundbreaking benefits of Machine Learning for Manufacturing are the best technologies for the manufacturing industry.

Implementation of Machine learning in the manufacturing industry will improve productivity without compromising on product quality. However, with changing customer preferences and need, the proliferation of new product demand is growing in manufacturing today.

To overcome this challenge, most of the manufacturers are shifting to ML technology. They have confidence in ML as it can enhance the performance of end-to-end manufacturing operations. ML in manufacturing provides a solution to prevent losses in product development.

Now, we will move further into major applications of Machine Learning in the manufacturing industry, along with real-world examples.

Applications of Groundbreaking benefits of Machine Learning for Manufacturing

#1 Machine Learning for Predictive Monitoring

ML models help manufacturers in monitoring equipment failures. ML-based predictive maintenance solution allows manufacturers to predict device failures accurately. The predictions help manufacturers reduce planned equipment maintenance. This approach of predicting device conditions offers enhanced product reliability, quality, and durability.

Further, the ML-based monitoring and prediction systems can schedule device maintenance for particular time intervals. Hence, ML is engaged in performing repetitive tasks without human involvement. Therefore, ML in manufacturing offers business scalability and cost structure.

The best example of Machine learning in manufacturing for equipment monitoring:

A leading automotive plant has implemented a predictive maintenance ML solution for their hydraulic press.

This ML solution predicts device failure with 92% accuracy, plan maintenance, and ensure product reliability. Total equipment efficiency has risen to 85% from 65%.

#2 ML Technology For Quality Control

ML plays a significant role in analyzing the performance and quality of assembly products. ML in manufacturing finds product weakness faster and helps to reduce the performance errors in machines.

Thus, ML-driven computer vision algorithms can automatically learn from product data and detect product defects. ML can also perform automatic quality control tests that can detect device faults with over 90% accuracy.

#3 ML For Inventory & Logistics Management

Manufacturing industries are not only focused on assembly line and production functions, but they also give equal importance to their supply chains and logistics operations.

In traditional methods, order data collection, order value calculation, logistics performing, and product-related tasks done manually. But, deploying ML in manufacturing can efficiently handle issues in logistics services and cuts unnecessary costs. 

Moreover, with a successful blend of AI, ML, and IoT with asset tracking sensors, the emerging technologies improve and automates supply-chain management operations. Besides, by monitoring every step of manufacturing processes and production, machine learning in manufacturing also optimizes inventory management.

Best ML Solution for Supply Chain Management

Another strength of machine learning-based algorithms is in resource management. To know how powerful it is, have a look at the power-consumption optimization algorithm that Google has reduced to 40% on its electricity bills in its data center cooling systems.

#4 ML for demand forecasting

It is one of the best applications cum benefits of machine learning in manufacturing. AI & ML algorithms can integrate with procurement and cost management fields. It will improve the accuracy of product demand prediction.

Using historical product data, ML models can provide insights into market dynamics and make quick decisions for gaining sales profits.

How ML applied for demand forecasting?

The role of machine learning in predicting product demand is vital. ML in manufacturing analyzes historical sales and product demand trends. Later, for improving forecast accuracy, the ML tools also dig deep into historic product discounts and price fluctuations, and all.

Like this, ML helps manufacturers in predicting product demand. Such an AI strategy benefits manufacturers grab sales opportunities by maintaining adequate inventory and giving the best price to the product.

#5 Significance of Robots in Manufacturing

It’s a fact that robots play a prominent role in the manufacturing industry 4.0. The use of industrial robots in performing repetitive manufacturing tasks is increasing rapidly. The robotic-powered manufacturing process offers ample opportunities to the manufacturers in achieving agile production and reduces human-errors.

#6 Automated Guided Vehicles (AGVs)

Manufacturing industries are using AGVs in the production and assembly environment. These AI and ML-powered autonomous vehicles can carry large components with ease. The best this about AGVs is they can adjust their route by detecting objects or sensing humans.

#7 ML for Generative Design

Generative design software use ML to mimic the actual design. Using input parameters- materials, size, manufacturing methods, product weight, the generative design software delivers maximum possible design outcomes using those parameters.

Thus, machine learning in manufacturing helps manufacturers create hundreds of designs for a single product in minutes.

Few of other benefits of ML in Manufacturing-

Along with the above applications of ML in manufacturing, the industrial ML solution for manufacturing also offers the below benefits to manufacturers.

  • Reduce poor-quality products and increase throughput
  • Reduces cost overheads through predictive maintenance
  • ML offers synchronized production flow
  • ML ensures robot-human collaboration in the workplace
  • Boosts manufacturing processes
  • Gives insights to manufacturers for designing consumer-focused products.

Final Thoughts

Machine learning in manufacturing offers a plethora of benefits to manufacturers. From equipment maintenance and production to inventory management and supply-chain management, ML plays a vital role in the manufacturing industry.

ML in manufacturing can identify, monitor, and analyze device conditions during the manufacturing process. Using machine learning, the operators can alert before the product or device gets damaged.

USM, a leading artificial intelligence and machine learning service provider, helps your business grab benefits from emerging technologies. Our expertise in using AI and ML technologies helps various industries in fueling their business.

USM Business Systems’ AI-driven solutions empower manufacturers to bring automation in manufacturing tools, machines, procedures, and analytics. We help you to scale the manufacturing automation.

Our expertise in delivering custom-build Artificial Intelligent mobile apps for manufacturing made us a leading AI service provider in the market.

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