How is AI impacting things?
Artificial Intelligence is an advanced technology that has entered almost every sector. It is drastically transforming every industry and bringing massive results. The incorporation of such technology has enabled a great revolution known as Fourth Industrial Revolution, also known as Industrial 4.0. The manufacturing industry has used AI technology in various ways to increase efficiency and productivity in different domains. AI technology in manufacturing has constantly fueled innovation, operation, optimization, etc. Deploying AI/ ML assists manufacturers in getting faster results. Moreover, a combination of AI/ML helps in identifying the errors as well.
The technology of AI facilitates in many ways and covers for a lot of shortcomings such as expertise on complex decision making, integration, and gives analysis on scattered high volume data. Deploying AI in manufacturing helps enterprises to transform the processes drastically.
How does AI work in manufacturing?
AI is often utilized in industrial manufacturing alongside robotic use. This enables mass production. A robotic set-up is capable of recurring activities as well as designing the production model. Moreover, the competence is enhanced since the scope of human error is reduced. Thereby, giving an excellent level of quality in work.
Business can be expanded by implementing AI and robots since this is capable of working round the clock, unlike humans who have limited productivity level.
Safer Operational Environment:
By implementing AI one is reducing the need for human resources to carry out intensive laborious and dangerous activities. The number of workplace accidents can be reduced by alarming the authorities beforehand at various levels of production as can detect errors in the pieces of equipment.
New Options for Humans:
Since AI will take boring and laborious tasks the human resources can be utilized for more innovation and complex work. The unskilled jobs which require not much human intervention can be performed by AI while the skilled human forces can be transferred towards more innovative and creative tasks.
Cost Reduction and Increased Return on Investment:
Investing in AI is a one-time high-cost investment that entails a great return on investment. As the machine will be taking care of everyday business the operating cost will reduce in the longer run.
What are some added benefits of AI?
AI and industrial automation have entered various sectors in recent years and have changed the outlook of AI. Development in machine learning techniques, advancement in sensors has resulted in the growth of computing power which is resulting in better and changed robotics. AI assists machines to collect and process data from various touchpoints, identifying patterns, learning, and adapting to novel changes in the environment using machine intelligence, and speech recognition. By deploying AI manufacturers can yield various benefits such as:
1- Take quick, data determined decisions
2 - Facilitate enhanced production outcomes
3- Minimizing operational costs
4- Helps in product development
5- Enables superior scalability
AI-enabled platforms can easily understand the natural language and can translate it without any hassle. This makes work simpler for managers and workers to access the software. For instance, software users often prefer looking for a particular segment of anything rather than navigating through the entire complex menu. AI can comprehend the intention of the user easily, resulting in robust decision-making, paving way for great outputs and fewer errors.
What is the effect of AI in the Manufacturing Industry?
The manufacturing industry has always been open to innovative technologies. Robots, drones, etc., have been an integral part of innovation in the manufacturing industry. Full automation is also not very far. It has also made its way into the manufacturing sector. If AI is implemented in the manufacturing sector we will indeed see fast growth. If an organization starts implementing AI technology there is a high probability that the cost will be reduced effectively. Manufacturing sector to prepare well for organized manufacturing plants where design team, supply chain, quality control, etc., are well coordinated with the intelligent engine that can assure valuable insights of knowledge.
What are the trends of the Manufacturing Industry with AI implementation?
The way AI will transform the dynamics in manufacturing is still in the pipeline. However, various noticeable examples can give us a hint of how things will change soon.
Computer visualization has been used constantly for quality assurance. Visualization helps in detecting problems in real-time. Nowadays, the manufacturing sector is also loaded with information, and given the fact, employees are not paid by plant managers to enter information. With, computer vision we can rationalize the way information is apprehended. The worker in the factory should be able to procure the raw material reserve on the shelf with the help of image vision, the camera observes the transaction should immediately and automatically be reflected. This will work as a natural user interface, the work is done reducing the process of scanning things into the system.
Artificial Intelligence will hugely impact the Internet of Things (IoT). IoT will give away to deliver supplies and services to customers who might not be able to follow discretion too much. Moreover, IoT can deliver in-depth telemetry assisting in quality checks and keeping in check the factors that may fail.
Some of the prominent cases of IoT include:
Industrial analytics using data from edge devices on the production floor
Wearables like smart glasses to view instructions hands-free and perform real-time situational actions
Use of AI in logistics: There has been a continuous challenge in manufacturing concerning overstocking and under-stocking inventories. Overstocking often leads to wastage, increased cost, lowered margins. On the other hand, understocking can translate into losses in sales, revenues, and customers. By implementing AI manufacturers can provide forecasting which is more precise and accurate. Moreover, losses can be reduced, resource management can be handled.
Use of AI in Design and Manufacturing: AI-enabled software can assist in creating several optimized designs for a single product. The application known as generative design software requires engineers to provide inputs such as manufacturing methods, raw materials, size and weight, cost, and resource shortcomings. By using these inputs, the algorithms can assist in generating several permutations.
Such software assists engineers in testing various designs against a wide range of manufacturing scenarios and help in picking up the best choice after analyzing all the factors. Nissan has already implemented such a technology that was never seen before where cars are designed in a very short period.
Use of AI in cybersecurity: With everything going digital cyber attacks have also increased in recent years. Research has pointed out that manufacturers suffer due to cyberattacks. The threats are likely to grow with the increased use of the internet and, everything is digitized. AI-driven cybersecurity systems and risk detection mechanisms can assure safety guard against such threats. By deploying a self-learned AI-driven mechanism attacks can be spotted over cloud services and IoT devices and, they can be interrupted in seconds.
The companies that have embraced digital transformation in manufacturing are championing the industry. The four IR technologies that have given such robust results to these companies include AI, VR, AR, IoT, data analytics, predictive analytics, automation, etc.
Such companies have received tremendous results.
With the FutureAnalytica AI platform, the efficiency in manufacturing can be increased by using our offerings like Predictive Maintenance, Predictive Analytics etc. The Anomaly Detection solution of FutureAnalytica helps 30 to 50% decrease in machine downtime. The solutions we offer give a 10-30% increment in labor productivity and a 15-30% reduction in quality-related costs.
Many adopters are gaining a competitive advantage by lowering the operation costs, optimizing performance, etc. With time, the benefits will gain more momentum and will increase exponentially. The gap will also become significant between early adopters and organizations which are delaying the adoption. Implementing AI in manufacturing requires sufficient investment concerning time, resources, effort, and cost. It also requires upskilling your personnel. It becomes essential to adopt AI as early as possible to create a significant impact on your revenues.
We at FutureAnalytica provide various services related to AI. We hope this article was insightful and helped you understand the concept of artificial intelligence in manufacturing sectors, its benefit, and opportunities to grow in the market. Thank you for showing interest in our blog and, if you have any questions related to artificial intelligence in manufacturing like predictive maintenance, anomaly detection etc, please send us an email at email@example.com.