Manufacturing is one of the industries that has embraced artificial intelligence and machine learning the most. AI is undoubtedly the key to the future of the electronic manufacturing sector in terms of process optimization, cost reduction, and the generation of new insights. But, of course, these advantages will accrue to early adopters.
Today, we’ll look at how artificial intelligence prepares the manufacturing industry for a massive transformation. Then, we will examine how AI has helped the industry and what the future holds.
Many organizations’ top priorities include increasing productivity while decreasing production costs. For example, many electronic manufacturing companies want to use artificial intelligence to improve employees’ performance, allowing them to operate more efficiently and effectively. Several AI solutions already exist that enable businesses to reduce production costs while increasing efficiency. Artificial intelligence also aims to save companies money on materials in the electronic manufacturing sector. For example, allowing a faulty unit to continue in the manufacturing process means it will be processed further, consuming more materials and taking up space on the assembly line that a working team could use.
Examples of Artificial Intelligence in the Electronic Manufacturing Sector
Cybord creates AI-powered component inspection software.
Cybord, an Israeli startup, provides AI-powered component inspection software. The startup employs visual inspection technology powered by artificial intelligence to accomplish this. It can source materials, manufacture products, and manage defects for individual components and the assembled product. By implementing this software in manufacturing facilities, electronics manufacturers can ensure that each assembled component is genuine and unaltered.
Celus provides an AI-enabled Engineering Platform.
Celus, a German startup, is developing an AI-powered engineering platform to automate all manual steps in the engineering process. With the component information blocks available in the engineering platform, the startup’s platform automatically finds relevant components. With a single click, it designs and generates schematics and PCB floorplanning. Additionally, the forum is intended to fully integrate into an existing electronics manufacturing environment and automate the process from concept to design. It generally enables manufacturers to shorten product development cycles and reduce development complexity.
Artificial Intelligence’s Significant Business Benefits in Electronic Manufacturing Sector
Several machine learning applications in manufacturing provide businesses with distinct advantages. Introducing AI and machine learning into manufacturing creates a wave of change that has the potential to alter the entire manufacturing process drastically. This results in several significant business benefits, including:
- Decreases waste and loss
- Boosts throughput and quality
- Enhanced production capacity by optimizing the entire manufacturing process
- Because of an optimized manufacturing process, there has been new growth and expansion of product lines.
- Cost savings as a result of streamlined maintenance schedules
- Learn more about each machine involved in the process, including its current state of health and any situations putting unnecessary strain on that machine.
- Inventory management that is efficient leads to an improved supply chain.
- Improved quality control at all stages of the manufacturing process
Businesses in the electronic manufacturing sector must implement the appropriate solutions to reap the benefits of artificial intelligence and machine learning. Therefore, take the time to thoroughly examine any potential AI solution to see if it will provide significant business benefits.
Areas where AI is proving beneficial for the electronic manufacturing sector
The applications of AI in electronics are limitless, and it will be interesting to see how companies will incorporate AI shortly. But, for the time being, we will focus on the three areas where it currently has a significant impact:
AI is used to conduct advanced research by leading electronics equipment manufacturers such as Samsung, Mitsubishi, and Hitachi. These firms are investing in AI research to find commercial applications and investigate how this technology can help them improve their current product offerings. The study focuses on machine vision, voice recognition, audio processing, and other important AI areas. In addition, organizations use R&D programs to understand better the usage context, user behavior, preferences, and needs.
As previously stated, companies are developing transformative AI-powered electronics devices that benefit other industries. However, the application of AI is not limited to the manufacturing industry. AI is also being used in the industry to reshape product development cycles, improve product design processes, reduce defects, and deliver products to market faster. AI-enabled electronics manufacturing facilitates businesses to develop agile workflows to rapidly develop the following product line. They combine and collect anonymized data from various sources, including sensors attached to products, customer usage patterns, current market conditions, audio and video files, technician comments, device manuals, and more. This contributes to developing key insights that allow electronic companies to improve product quality, reduce costs, and respond to market demands more efficiently.
Electronic companies must ensure their security as more intelligent and connected devices for industry, home, and consumer use are developed. Cybercriminals will have more opportunities as there are more connected devices. Manufacturers are adding built-in security options for these connected devices, making them more secure than ever.
AI’s ability to study traffic patterns, baseline performance, and user behavior in real-time, as well as identify anomalies, makes it useful in this critical area of business. Not only are AI-powered security systems, baby monitors, webcams, and facial recognition systems improving overall security, but the electronics industry is also utilizing this technology to protect these devices from infiltration, vulnerability, and attack.
Manufacturer and Distributor role in Electronic Manufacturing Sector
The manufacturers’ core functionality ensures that the optimal inventory of components and other materials needed for manufacturing is maintained. Then, products are manufactured, stored, and shipped to the customer’s specified destination by distributors following the production requirements prepared by the planning team. During this stage, the manufacturer employs various innovative techniques such as plant automation, remote inventory monitoring, and so on to improve the efficiency of the multiple processes involved. Here is where Artificial Intelligence comes in, and manufacturers and distributors reap its benefits in facilitating the electronic manufacturing process right up to its distribution.
Concluding Artificial Intelligence Impact on Electronic Manufacturing Sector
While AI is still in its early stages, it will soon change the electronic manufacturing sector. AI has already transformed several industries that have embraced it wholeheartedly. Companies can now make better data-driven decisions, optimize regular processes, reduce operational costs, and provide better customer service as technology rapidly evolves in the electronics manufacturing sector. In addition, AI will alter how the electronic industry uses technology to design products and perform manufacturing tasks. It should be no surprise that several companies now use robotics to perform various manufacturing tasks. AI-powered robots can now perform automated functions without the need for programming.