Introduction

What is the ultimate goal of a manufacturer? The answer is more production and higher-quality products at minimum cost. The “Smart Manufacturing” revolution enables manufacturers to reach their aim successfully, and one of the core technologies driving this new innovation is industrial artificial intelligence. 

Data has become an impeccably precious asset and, at the same time, cheaper to capture and store. At present more manufacturers are leveraging their data significantly for improving their bottom line through the assistance of artificial intelligence and machine learning. 

After all these years, data has significantly contributed to in improving production capacity and efficiency by reducing the causes of production losses and other costs. 

Also, getting tangible business value out of artificial intelligence is easier said than done. Artificial Intelligence is a complex technology with various applications. How can manufacturers understand the “hype” and empty promises to invest in AI that will truly give a competitive edge? 

Focus is the key to successful industrial Artificial Intelligence & Machine Learning.

It is nearly impossible to be ignorant about the growing utilization of artificial intelligence technology in almost all sectors. It’s like every other industry is stirred by the innovations of Artificial Intelligence, Machine Learning, and digitization or automation technologies. 

AI technologies could be effective rightly, hence getting those contexts and the kinds of technologies that apply to them are the key for setting realistic business goals for AI adoption. 

Artificial Intelligence is not a silver bullet; no solution will solve a specific problem, but most of your problems. As a rule of thumb, AI makes the best use of solving particular problems: General AI.

A study by Accenture and Frontier Economics study reveals that by 2035, AI-powered technologies would increase labor productivity up to 40 percent across sixteen industries, including manufacturing. As it is evident that AI is transforming the manufacturing industry eventually, let’s discuss few use cases.

Few use cases of Artificial Intelligence in Manufacturing..

1. Quality Checks

Few flaws in a product are too small to be noticed, and even, the QC inspector could miss it. Therefore, machines are equipped with cameras to detect even the smallest error. 

Machine vision allows the machine to view the products on the production line and spot the imperfections immediately. The logical further steps might would be sending the pictures of the found detected flaws to the human expert or fully automated. The system realizes identifies defects mark them and send alerts. 

2. Predicts failure modes

For this, we could make false conclusions by considering products and processes. Products could fail in multiple ways, irrespective of the visual inspection. A product that looks perfect might still break down after its first use. Similarly, a product might look flawed but might work just perfectly. With massive amounts of data on how products are tested and how they perform, artificial intelligence could identify the areas which need more attention in testing. 

3. Predictive Maintenance

It allows companies to predict when machines need maintenance, with higher accuracy instead of preventive or presumptive maintenance. It prevents unplanned downtime by using machine learning. Technologies like sensors and advanced analytics embedded on manufacturing equipment enable predictive maintenance by responding to alerts or resolving machine issues only when required. 

4. Generative Design

This process involves a program that generates several outputs to meet a given criteria. Engineers or designers input design goals and parameters, like materials, manufacturing methods, and cost constraints, into generative design software for exploring design alternatives. This solution utilizes machine learning techniques to make them learn from each iteration that works. 

Digital transformations could change the way a company delivers value to the customers and improve efficiency of the process. 

Now, the question “Is AI is the future of manufacturing industry? 

Artificial intelligence is a game-changing technology for any industrial sector now. As technology is maturing and prices are dropping, AI is becoming more accessible for more companies. In manufacturing, it would be effective at making products and making them better and cheaper.

With AI adoption, manufacturers are able to make rapid, data-driven decisions, minimized operational costs, optimized manufacturing processes and improving the way they serve their customers. Similarly, at the same time, it doesn’t mean that machines will take over AI. Artificial Intelligence is an augmentation to human work, and nothing could substitute human intelligence and the ability to adapt to unexpected changes. 

About Data Labeler

Data Labeler specializes in catering accurate, customized, convenient, expedited, and quality-labeled datasets for Artificial Intelligence and Machine Learning initiatives. 

So, are you looking to raise your competitive advantage & exponential growth? Collab with us – Sales@DataLabeler.com