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There's no shortage of hype about Industry 4.0, and it's not hard to see why. Innovations such as smart sensors and autonomous mobile robots have the potential to revolutionize manufacturing. To fulfill that potential, however, these advanced technologies must be paired with human ingenuity.
Also known as the Fourth Industrial Revolution, Industry 4.0 builds on the foundation of the Third Industrial Revolution, which introduced computers and other electronics. It represents an ongoing transition toward intelligent automation and hyperconnectivity. Industry 4.0 is also largely data-driven, allowing manufacturers to gather and leverage massive amounts of information from an integrated ecosystem of machines and sensors.
Let's explore a few of the key technologies behind Industry 4.0.
The Internet of things — known in this context as the Industrial Internet of Things (IIoT) — involves the use of connected devices to improve manufacturing processes. Examples of IIoT technologies include smart sensors, actuators, and Radio Frequency Identification (RFID) tags. The IIoT also includes the networking infrastructure that connect devices and endpoints as well as the software platforms used to manage those endpoints.
IIoT devices generally have two primary purposes. First, they capture and transmit data in real-time — everything from temperature and weather to vibrational frequency. They may also make adjustments such as activating a safeguard or changing the temperature in a climate-controlled environment.
The real value of the IIoT is in the ways it enables and supports other industry 4.0 technologies. Smart sensors provide comprehensive data for analytics tools, for instance, allowing manufacturers to identify inefficiencies and perform predictive maintenance. Other benefits of the IIoT include improved productivity and equipment uptime, enhanced process and operational efficiency, improved product quality, and reduced overhead.
A smart factory might produce upwards of five petabytes of data per week, while a single machine might generate five gigabytes on its own. And bear in mind that these are conservative estimates. Technologies such as autonomous robots and generative AI will likely push those numbers much higher.
There's a ton of value in collecting and processing that real-time data. Unfortunately, most of it is unstructured, meaning it's basically just a huge clump of information, colloquially known as big data. Sifting through it manually just isn't possible.
Instead, manufacturers must use a specialized analytics platform capable of orchestrating and identifying patterns in big data. Like we mentioned above, finding those patterns can help manufacturers achieve several things:
We'll assume you've already heard all about ChatGPT and generative AI (GenAI). So instead of describing and defining the technology, we're going to talk about the ways it's allowed manufacturing to evolve. This includes, but isn't limited to:
There've been robots on the factory floor for decades. Traditional industrial robots excel at high-volume, repeatable tasks such as material handling and removal, welding, and assembly. With the introduction of AI and the IIoT, however, industrial robots are getting an upgrade — and we're seeing a shift in how they're being used.
For one, industrial robots are now more flexible. Rather than needing multiple specialized robots, a single machine can be programmed to shift between tasks as needed. This can be paired with remote management and monitoring technology so the robot can be controlled off-site.
There's also autonomous mobile robots that are capable of navigating a factory floor on their own. Many industrial robots are also now being designed for human-machine interaction, allowing flesh and blood operators to safely work in close proximity.
Some other notable industry 4.0 innovations include:
So where do people fit into all this? Smart factories can basically run themselves now, right? Not exactly.
Even the most sophisticated AI has yet to replicate human creativity. AI systems also do not understand ethics, and they lack human intuition and empathy. AI can analyze a massive volume of data and interpret the patterns in that data, but it doesn't truly understand what those patterns mean.
It's up to human operators to interpret that information. And it's up to human operators to make decisions based on that information — decisions that require subjective judgment, intuition, discretion, and ethics. Decisions that require human insight, in other words.
Human adaptability and flexibility are also incredibly important for smart factories. Even the most sophisticated AI may struggle if it encounters a scenario that it wasn't trained for. Humans, on the other hand, can adapt — we can use lateral thinking to address challenges, adjust to unexpected changes, and address unforeseen problems that would leave AI stumped.
Machines and humans both excel at different tasks — and they are at their best when they work together. We already mentioned how Industry 4.0 technologies don't actually understand the data they produce. Human operators must interpret that data, then use it for strategic decision-making.
Humans also play a central role in designing and developing automated systems. Human input is required to personalize and customize manufacturing processes to meet specific customer needs. And lastly, human feedback is essential to enable continuous improvement.
Industry 4.0 systems are not infallible. There's always the possibility of a mistake, and there's always an opportunity to make things faster, safer, and more efficient. But this isn't something that can happen without human intelligence.
An AI assistant may offer guidance, but only a human can flip the switch.
GN Corporation has always had a people-first philosophy. We believe that the key to success in Industry 4.0 and beyond is to integrate human skills with advanced technologies through training and teamwork. We also believe that a collaborative culture is the best way to nurture innovation and growth, and promote information sharing between cross-functional teams.
That's why we're committed not just to education, but to providing our employees with opportunities for professional development. It's what's allowed us to develop the necessary technical expertise to effectively utilize and enhance Industry 4.0 technologies. And it's what lets us keep evolving with the manufacturing sector.
The Fourth Industrial Revolution introduced sophisticated new technologies such as AI, advanced robotics, big data, and the IIoT. While these technologies are promising, it's human creativity, ingenuity, and intelligence that will unlock their full potential. And once that potential is unlocked, it's humans who'll be at the center of the next revolution.
Partner with us to learn more about GN 4.0 and how our smart factories can help you increase productivity, improve quality, and reduce costs.
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