Artificial intelligence (AI) has increased the potential of the manufacturing industry. It has facilitated the industry with increased productivity, enhanced quality, and reduced overall expense. Many organizations have adopted this technology and realized the benefits of integrating AI with their on-demand manufacturing activities.
Let’s have a look at some key points that help you know how the AI platform streamlines the important part of the manufacturing of organizations.
What is AI in Manufacturing?
AI in manufacturing is a revolutionary step designed to facilitate the core and in-demand activities in manufacturing industries. It has changed the way of product designing, production, and distribution. Utilizing AI technology like robotics, machine learning, and advanced data analysis helps in streamlining the manufacturing process by reducing cost and enhancing the quality of the product.
Several organizations have embraced AI-driven automation in their manufacturing process to foster better quality and speedy production than their competitors. Moreover, it is estimated that the AI market will reach a $21.3 billion market economy by 2028.
How Does AI Help in Manufacturing?
Following are the use cases where AI is used in manufacturing processes by various organizations:-
One of the most popular applications of AI platforms is the future maintenance of machines. It uses a proactive approach to maintain the machines, saving unnecessary maintenance charges and time. It aims to extend the lifespan of machines so that they work for a long time.
AI-driven design tools are becoming an essential part of the manufacturing process and product development. Many AI platforms like RapidDirect machine learning platform help designers leverage AI benefits and analyze multiple design iterations. This way, they can create innovative and high-performing products.
AI ensures that the quality of the product manufactured is controlled and good, eliminating all defects and issues. It ensures that the product matches the product standards and has better quality at less cost.
Advanced image recognition and machine learning techniques help in the detection of any issue and prevent them before they reach consumers.
Optimising Supply chain
AI analyses performance data and uses advanced algorithms to gain meaningful insights that can be implemented in supply chain management in the organization. This gives a cost-effective and speedy way to complete the production within the available resources. It tracks down the resources and keeps the stock up-to-date.
AI Technologies Used in Parts Manufacturing
Following are certain examples of technologies that are used by organizations in their manufacturing process and many others are likely to use them in the future.
Internet of Things (IoT)
This technology has proven to be a big transformation in the manufacturing industry. IoT gathers valuable data by connecting to different machines and systems. Then, provides important insights that improve the efficiency and performance of the manufacturing unit.
Another popular AI technology is addictive manufacturing aka 3D printing. This innovative and unique technology helps manufacturers to customize the design of the parts and makes it easy to create complex or intricate designs. It gives precise and speedy production, reducing time, money and enhancing the overall performance of the products.
Virtual And Augmented Reality
The VR and AR technology allows workers to have information and use it in real time. It provides them with guidance to improve quality, safety, and performance. It offers training to the workers and allows them to implement it in real time.
This system plays a vital role in the modern manufacturing process. It enables organizations to improve productivity and quality. This technology has become advanced and more affordable for organizations to establish in the manufacturing sector. The automated practice of machines reduces the chances of defects and decreases the manual labor cost for the organization.
Role of AI in Sustainable Parts Manufacturing
As technology is increasing, the use of different machines for different purposes may become a threat to the climate in the future. Therefore, organizations are shifting to AI-based manufacturing processes where AI technologies identify the threats, wastage, or inefficiencies and provide valuable solutions.
- AI-driven systems identify wasteful issues and give better solutions to optimize operations and reduce environmental impacts.
- Enhances energy efficiency by optimizing energy consumption, and reducing greenhouse gas emissions.
- Allows manufacturers to track and monitor the product’s lifecycle and support the use of circular economy practices.
- These practices are remanufacturing, recycling, reusing, and recovery of resources.
Today, many organizations like BMW, Siemens, etc have started using AI technologies in their manufacturing process. To use this type of technology, organizations must have the competency to deal with machine learning, deep learning algorithms and enforce a cybersecurity team to avoid cyber theft or attacks.
The future of AI is transforming the way of manufacturing processes. And it is the goal that human and AI technologies work together for a collaborative environment rather than replacing the human workforce with machines.
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