How Can Manufacturing Benefit from Artificial Intelligence (AI)?
Manufacturing – Around 800 million workers worldwide will have their jobs made simpler by new technology and automation in production facilities by 2025-2030, according to experts. 85 million jobs will be lost to the machines, but 97 million new ones will be created. At the same time, production in various nations is already being affected by the most recent technological solutions. Think about how this works.
How Can Manufacturing Benefit from Artificial Intelligence (AI)?
Why AI is necessary for production?
Today, the energy, construction, and industrial sectors actively employ artificial intelligence technology. Algorithms, for instance, calculate the duration of equipment failures. Employees can determine when to repair machines and when to replace parts thanks to this. An assortment of artificial intelligence-based innovations can gather video film from cameras, process the information, and forward it to capable representatives for board choices. The presence of specifically qualified personnel in the appropriate work areas, the readings of equipment, and the correct assembly of units within the company are all monitored by AI, as are loading, and unloading operations and technical processes in production.
Companies may benefit from AI technology’s ability to minimize human error and optimize costs, but this is entirely contingent on the intelligence’s “maturity.”
A new phase of growth:
Current creation offices are computerized and will often have zero physical work. The development and integration of AI in the manufacturing sector to improve production stability and efficiency marks the beginning of a new phase of development.
First, such technology has the potential to lower the likelihood of equipment failure. No matter what the apparatus is, the objective is to proactively fix possible issues. Before a malfunction causes catastrophic or costly production downtime, this enables issues to be resolved.
Additionally, AI has the potential to completely take over technology and business procedures management. The algorithm can detect stage deviations, technical failures, and process integrity after training on relevant data. Your company’s bottom line will benefit from this, as will the human element.
Production jobs have decreased because of automation. However, the technology’s development and support require more and more specialists. Therefore, it cannot be said that manufacturing robotics permits us to completely abandon humans.
Method of control:
Today, China, Japan, South Korea, the UK, the US, Canada, and a few European nations (fundamentally Germany) are driving the change of the business.
Sensor devices, robots, and video analytics systems with machine vision capabilities lead the list of the most popular technologies. For instance, BMW factories all over the world make use of computer vision to instantly identify flaws and check the quality of their vehicles. It is not always possible to complete this task most effectively for a variety of reasons. In this instance, technology can assist us in completing these and other routine tasks more quickly and effectively.
Artificial intelligence makes it possible to count working hours as well. The arrival and departure times of employees are recorded by cameras. All device data is uploaded to the database automatically and used as needed.
The psycho-emotional state of employees can also be monitored using AI, which is a novel application. For some organizations, workers must show up at the premises rested and invigorated. Employees may be sent home or scheduled for a health check if a camera equipped with a facial recognition system detects signs of facial fatigue.
“Smart” cameras, according to experts, can detect sources of fire and smoke, as well as broken pipes and open hatches, when discussing the impact of AI on the creation of safe working conditions in businesses. This permits us to rapidly answer. Make things better and make sure that fewer people are hurt.
The “digital foreman” for controlling and protecting business processes has emerged as one of the revolutionary advancements in AI in production. With the assistance of AI and machine vision, reduce the likelihood of workplace breaches. A neural network is a component of the software and hardware complex. Pictures of items are handled involving a camcorder in programmed mode. The number of personnel and work equipment is monitored, the working hours of employees are recorded, the availability of equipment or personal protective equipment is checked, and technical processes are monitored.
Obstacles and risks:
The use of AI in production carries several risks in addition to the numerous benefits. Professionals must control how the system is used in production. Otherwise, the AI might make decisions that are bad for the business and fail to meet security and economic viability requirements. The possibility that employees will lose their jobs because of process automation is a second category of risk. Therefore, many should think about retraining.
At the same time, AI-based solutions have been successfully implemented in almost every industry. The mining industry, for instance, employs “advisors” or “recommender” systems that instruct line personnel on how to act based on an examination of previous data and the selection of the optimal mode of equipment operation. Throughout driving the unloader, it suggests when the driver ought to speed up and what speed to keep up with for every leg of the course. You can save a lot of diesel fuel and reduce your carbon footprint by doing this.
A moment in HR:
Employees will naturally need to acquire new professional skills because of the implementation of new technologies into production. This means that businesses must care for their employees in tandem with technological advancements. High-skilled workers are needed for technical production, which means it costs a lot of money to find and train them. Additionally, wages need to go up. The final cost of the product goes up when labor costs go up.
Around 800 million workers’ jobs will be made simpler by automation by 2030, according to experts. In addition, there is a growing interest in professional development and reprofiling because of the rising demand for the use of digital technologies and the expanding talent pool of IT specialists.