Manufacturing Automation through AI

From self-driving cars, robotics, factory automation, AI-powered E-commerce store, virtual travel assistants to faster drug discovery and diagnosis in the healthcare sector, AI is changing people’s lives in every possible way. The manufacturing sector is ahead of every other industry in the application of artificial intelligence. Manufacturers have AI-powered their engineering processes to improve the quality of the product, its efficiency and also have reduced the time taken to finish production or a process. Here are some of the ways in which AI helps with the growth trajectory of the manufacturing sector.

Maintenance of systems and processes has been a high-cost item for manufacturers worldwide. Predictive maintenance is a low hanging fruit that promises to reduce the cost of manufacturing significantly. The optimal conditions for equipment, systems, and processes are defined to predict the possibilities of failure of the need for maintenance. Machine learning is used to identify patterns in predictions and fix the root causes of issues. This will prevent unplanned downtime costs as well as failure/losses. Predictive maintenance helps in predicting the next failure of a machine or a system. It makes use of advanced AI algorithms in machine learning to predict any malfunctions that are likely to occur in a process. Companies like Texmark Chemicals, Lockheed Martin, Deutsche Bahn railway operations and Thyssenkrupp are some of the companies that have incorporated and enabled predictive analysis.

Automating the manufacturing sector has also allowed improving the standards and quality of the product. The production time-to-market deadlines have shortened and at the same time, the demand for the rise in quality hasn’t been compromised. This has made it difficult for manufacturers to meet increasing deadlines and demands. Customer expectations have also increased, which has pushed the needs for increasing the quality of the products. Luckily, there’s AI to help here as well.

Case in point, a robotic prototype is being used to follow CAD instructions to design and build parts! It reads and interprets the CAD instructions in order to build parts without the need for programming. The use of AI reduces the workload on humans by half. Factories employ several numbers of people to detect and inspect any defects. With the deep-learning algorithms that are backed by AI, it just requires less than a second to locate any defect, a hundred times more accurate than humans.

AI is revolutionizing the manufacturing sector as its complex algorithms notify the manufactures about any fault in the products and measures are taken immediately to rectify them. Some of these faults could be slight deviations in the machine behaviour, issues in raw materials, etc. By being aware of these issues at an early stage, the manufacturers maintain the quality of the product. Further, after the product is out and about in the field, the manufacturers can keep a tab on their performance, which helps them in making useful decisions regarding its engineering and design. This helps in maintaining the quality of the products apart from delivering it on time.

The products now are undergoing an efficient design process when compared to the past. The designs readied by the engineers and designers are provided as an input into an algorithm, powered by AI. This software which is referred to as generative design software receives input that includes data which describes various parameters as well as the restrictions of the material, the production methods that are available, time restrictions as well as budget issues. This will help in analysing the restrictions as well as other complexities involved in the design. The algorithm also proposes solutions that can be tested using machine learning and can be tried several times before an optimal design is reached.

Today’s manufacturing market is continuously changing and evolving based on current needs and trends. AI algorithms help the manufacturing industries anticipate the changes in the market, estimate market demands and help manufacturers optimize the needs of raw material, staffing, consumption of energy as well as inventory control.

When it comes to the application of AI in manufacturing, the tide is definitely shifting. AXISCADES has decades of experience in manufacturing. We spearhead the collection, analysis, and use of active data that will help in building a smart ecosystem that effectively converts data using artificial intelligence. Read more about our offering here.


Additional Reading and Resources

Engineering a Sustainable Future – Wind Energy

Read More

Challenges and Opportunities of Heavy Engineering Industry

Read More

Latest defense technology: Air, land, and water

Read More

Automotive Question and Answers

Read More

PLM: Yesterday, today and tomorrow

Read More

9 Real World Applications of Augmented Reality

Read More

Manufacturing IOT trends

Read More

The Smart Factory: A View from the Shop Floor

Read More

Digital Engineering and Data

Read More

System Engineering

Read More

A Smoother Ride

Read More

Advent of Radar Age in India

Read More

The Smart Manufacturing

Read More

Fireside Chat With MITALEE DABRAL

Read More

Interview With AISHUWERYA

Read More

AR and VR

Read More

Additional Reading and Resources

Digital Engineering and Data

Read More

System Engineering

Read More

Advent of Radar Age in India

Read More

Interview With AISHUWERYA

Read More

Follow us