Acceptance of AI in the manufacturing industry and its future

 In the recent past, the growth of digitalisation has caught a rapid pace and the industries across the globe came under the obligation to incorporate this into their business activities. This mandate didn’t arrive only due to technological advancements made in the field of science, but also the fact that it made it possible and more convenient for organisations to perform better and cater to their customers in much more efficient ways.

Artificial intelligence has given way to solutions using wide data models and machine learning to automate various industrial activities. One operating in the period of traditional importance in manufacturing companies would never believe the popularity and the level of accomplishments machine-operated tasks have acquired in the present world. AI-powered services have developed a world where almost everything previously handled by humans is now controlled through machines and provides results far better than the former approach.

In recent reports, the global AI market is expected to reach $60 billion by 2025. This estimate not only provides insights into our future economy but also gives us a glimpse of the power gained by technology in the coming years. 

Some popular Machine learning solutions for manufacturing operations

Usage of AI services has become a top choice among manufacturers across various domains but they might differ in solutions availed by different business owners. Here is a list of some very relevant AI-based solutions for manufacturing services which are generally preferred by various organisations globally. 

1. Forecasting prices of raw materials:

Since one can remember, the price volatility of raw materials has been a critical challenge among manufacturers. And to deal with such a problem requires any business owner to resolve it as quickly as possible. This improves the production process and enables the manufacturer to gain an edge over others in the industry. Price fluctuations are a problem that when attempted to be resolved by humans consumes a lot of time and effort with certain errors involved. On the other hand, artificial intelligence makes it look so seamless and efficient while learning and executing from the mistakes made in the past.

2. Maintaining quality assurance:

Quality is the ultimate deciding factor in whether the finished product will succeed in impressing the customers or not. Therefore, creating and maintaining good quality goods is significant throughout the production process. The human eye may sometimes ignore certain levels of difference in the goods but when AI steps up in the game, nothing goes unnoticed. AI-powered solutions trigger an alert whenever it notices anything different than what is expected and the workers can resolve such an issue in a timely fashion.

3. Inventory management:

Machine learning models are a prominent choice whenever there are supply planning and demand forecasting activities. Today, the effectiveness of such models has subdued the usage of traditionally followed methods in performing such tasks. 

4. Predictive maintenance:

It is pretty normal for accidents or failures to occur during the production process but what becomes a challenge is to handle them in time and efficiently. Incorporating AI-powered models in identifying such faults even before much damage can be caused. This not only saves the manufacturers from hefty costs involved in the redressal of the situation but also reduces the time that could have been wasted on the same.

5. Generative design: 

Generative design is a way in which machine learning techniques help in ascertaining the right fit after generating several probable outputs based on the input design goals. This mechanism helps in understanding what might fit best among the list of various alternatives. Human-generated samples otherwise would require lots of effort and would take a larger portion of working hours in arriving at the final design. 

6. Robotics: 

Undoubtedly, when AI has been performing almost every task in assisting the manufacturing operations, then it's handling of such operations physically comes as no surprise. With varied robotic services suiting the specific needs of the manufacturing process, they perform the assigned tasks with much ease and efficiency. 

Why do your manufacturing operations require AI-powered solutions?

Today the manufacturing industry is open to every innovative technology that aims to reduce costs and increase profits for their businesses in the long run. This acts as a push behind the acceptance of AI in the manufacturing industry and develops confidence in maintaining the same authority in the future as well.

 

• It has been effectively able to tackle the challenge of providing the highly demanded reduction in unnecessary costs involved in handling production operations. 

• Production process can continue for long hours and is not limited to the working hours of the employees.

• It helps in saving time of the human workforce which can then be effectively channelised into establishing other important tasks and responsibilities.

• Better system of identifying and resolving errors that occur or may occur over time. This enables maintaining a smooth production flow without any unwanted hindrance. 

With the rising needs and production demands, it is not very far when almost all production units across the world will be leveraging AI-based solutions for some work or the other. AI has already impacted our lifestyles in so many different ways that now imagining a life without it would be not a very easy one. Hence, people have largely agreed on its future implementation with larger importance than it receives today.