AI in Manufacturing:
Here is everything you need to know!
It is no secret that Artificial Intelligence (AI) has the potential to transform and revolutionize the manufacturing sector. The ostensible upsides of the phenomenon include more productivity, less expenses, enhanced quality, and decreased downtime. Whether it is a massive manufacturing unit or a smaller one, the scope to leverage AI solutions exists for everyone.
What is AI in Manufacturing?
A gazillion of data is produced everyday by the Industrial Internet of Things (IoT) and smart factories. So, it is understandable that AI can have multiple potential usages in manufacturing. Manufacturers can turn to AI solutions like machine learning (ML), deep learning neural networks, and likewise, for better analysis and enhanced decisions.
In addition, the fact that AI for manufacturing is predicted to grow from USD 1.1 billion in 2020 to USD 16.7 billion by 2026 is enough testament about the phenomenon’s contemporary relevance and future prowess. So, now that we have touched upon the basics of AI in manufacturing, let us delve more into the topic.
Importance of AI in Manufacturing
Some of the main reasons why AI is important in manufacturing are:
1. Prevention of Future Problems
Artificial Intelligence (AI) solutions assist manufacturers in forecasting when or whether any functioning equipment in the establishment will have a breakdown in the near future. So, maintenance, repair, and remedies may be planned even before the problem occurs.
2. Design Generation and Replication
Manufacturers can employ machine learning algorithms to emulate the design process used by engineers. The mechanism helps in the quick and speedy production of hundreds of design options for a single product.
3. Aspect Analysis
Thirdly, edge analytics in manufacturing co-opts data sets gathered by machine sensors to render quick and decentralized insights.
4. Prediction of Raw Material Prices
The fourth very important reason why AI is pivotal in manufacturing is the scope available to predict the prices of raw materials. AI-driven software programs can better anticipate the costs of commodities, thereby providing ample time to the manufacturer to create a survival and sustenance plan.
 5. Robotics
Industrial robots, also called manufacturing robots, can automate monotonous operations, eliminate or drastically decrease human error, and recenter the attention of human workers on profiteering or intellect-requirement aspects of the business.
 6. Quality Control
The penultimate reason why AI is essential in manufacturing is to keep a control on quality. The upkeep and maintenance of a desired degree of quality in a service or product is called quality assurance. The use of AI-oriented technology can help recognize abnormalities and deviations from the norm, and ensure that goods of the best caliber are produced.
 7. Process Improvement
Last but not least, manufacturing units can also achieve a sustainable product level by optimizing processes with the help of AI-powered software.
Elmo Solutions’ AI based Features – For Manufacturing and more
The tangible operation as well as management of a manufacturing unit requires AI solutions. In such a situation, Elmo comes into the picture. With features like automatic text translation, smart content abbreviation, and intelligent spell check and correction, Elmo Solutions streamlines the process of Enterprise Resource Planning by leaps and bounds.
Elmo Solutions Inc.
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