AI in manufacturing – everything you need to know

By Matthew Bui

It is no secret that Artificial Intelligence (AI) has the potential to transform and revolutionize the manufacturing sector. The ostensible upsides of AI in manufacturing include more productivity, fewer 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?

Massive amounts of data are produced every day 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 to 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 include:

  1. Prevention of future problems – 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 – Edge analytics in manufacturing co-opts data sets gathered by machine sensors to render quick and decentralized insights.
  4. Prediction of raw material prices – AI-driven software programs can better anticipate the costs of commodities, thereby providing ample time for 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 control of 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 the management of a manufacturing unit, requires AI solutions. In such a situation, Elmo Solutions comes into the picture. On top of Elmo’s ERP connector for Siemens Teamcenter, AI features like automatic text translation, smart content abbreviation and intelligent spell check and correction streamline the process of Enterprise Resource Planning by leaps and bounds.

To learn more about how AI can leverage your business, visit Elmo Solutions website here.

About the author

Matthew Bui is the Partner Success Manager at Elmo Solutions. He is passionate to become an industry expert in his field with the ability to train and mentor entry-level sales professionals.

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This article first appeared on the Siemens Digital Industries Software blog at