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Moving from the past to the future of Industry 4.0 with Manufacturing Intelligence
At present, there is competition in various industries. Bringing your industry into Industry 4.0 is therefore important in order to compete with other industries. Industry 4.0 is the definition used to define an industrial factory, which is an Intelligence Factory that is more advanced than a Smart Factory because it is processed with AI. To understand Intelligence Factory, we first need to understand the evolution of the industry.
Industry 4.0 - From the past to the future of the industrial factory era
(Digital Transformation Consultant - Rungroj Srirattanaroj (Roj))
Industry evolution from 1.0 to 4.0
Industry 3.0 – Factory Automation
The operation of machines and production lines is the same as Industry 2.0. The difference is the introduction of Information Technology to control the Assembly Line. The production belt uses computers as controls, including the use of robots. Convenience has increased with Industry 2.0, errors have decreased. In Industry 3.0, the term Smart Factory can be used, which uses computers to control and less human labor to control, but the computer logic is still created by humans.
Industry 2.0 – Mass Production
In Industry 2.0, production lines began to be added. It is a link between stand alone machines from Station 1 - 5 until the production line is complete. In between each station, a conveyor belt is used to transport the work material. As a result, the quality of production in Industry 2.0 has increased from 1.0, so it is called mass production, or mass reproduction. But in controlling each station, human labor is also used to control the machines, control the quality of the workpieces, control the turning on and off of the machines, including increasing or decreasing the speed as well.
Industry 4.0 – Mass Customization
It is different from 2.0, 3.0 because it is smarter and more advanced. The production is set to be mass-produced in a unique way, similar to Industry 2.0, which is mass customization of every piece. For example, soap production in Industry 2.0 can produce only one formula, while Industry 4.0 can customize soap in many formulas.
same production line This requires quite a lot of processing, which formula is used for this piece?
What status is it in? Customization And then there is the matter of Intelligence Factory. Factories can think and make decisions like humans. Unlike Industry 3.0 that follows logic determined by humans, Industry 4.0 follows AI decisions. In Industry 3.0, the work pieces that are sent Product quality must be inspected and it meets human criteria. A human uses a camera to check whether the workpiece is complete or not. If it is incomplete, it will be discarded. Industry 4.0 is where AI does all the thinking and processing itself, including making decisions to prevent loss of product quality.
Industry 1.0 – Mechanized Production
The production sector in Industry 1.0 does not have machinery or technology involved, such as a steel lathe shop bringing steel to work with stand alone machines that use human labor to move the workpiece from Station 1 to Station 2.
Deep technology required to transform Industry 4.0
Big Data tasks required for Industry 4.0
Deep Technology that is used to make up Industry 4.0 is all about Data, which is the Key Success of AI decision making. The data of machines and workpieces need to be analyzed in full, so there is a huge amount of data. In Industry 3.0, just look at that how many pieces have been produced, but Industry 4.0 wants to know what the properties and quality of this piece are. In Industry 4.0, the enormous amount of information in the Relational Database section is not enough to work due to insufficient efficiency. Instead of using a Database or Data Traditional warehouses, Industry 4.0, look at the level of the Data Lake or Big Data, so one of the Deep technologies that are Key Success will be Big Data as the main focus.
IoT (retrieving data from machines) tasks required for Industry 4.0
As for IoT, from the point of view of the manufacturing sector, it is divided into 2 levels, namely making connectivity from machines and pulling data out, possibly through PLCs or various interfaces, which will be called IIoT, while IoT itself will talk about sensors that add into the machine Originally, the machine did not have sensors to measure parameters, so IoT was added. Data from IoT and IIoT are sent to the Big data Platform, which can support enormous amounts of data: images, audio data, video data, and different data speeds. Information coming from machines While other information comes from production plans on ERP, it comes as transactions, which have different speeds.
What is required for Industry 4.0 - AI analysis and decision making
Finally, there is the matter of AI. When you have data collected in the middle, you need data to process decision-making, development, making a data model to analyze data on Big Data to become results or Value Commands to forward to the company. Bot or sent as a notification to operators. These 3 things (Big Data, IoT, AI) are very important for factories that want to do Digital Transformation and need to develop personnel to have this ability.
Implementing Manufacturing Intelligence's Industry 4.0
In doing Industry 4.0, it is necessary to have a platform that can support the development of the industry to be possible efficiently. CSI has a platform that has been developed for some time, which is a platform that works with factories, namely Manufacturing Intelligence. And within that platform It consists of IIoT, Big Data, and AI. Therefore, for factories that have transformation in their production lines and lack Experts in this field or may spend time developing skills for people. Clients will be able to use CSI's platform from day one.
Related CSI Products & Solutions
Manufacturing Intelligence (MI)
MI (Manufacturing Intelligence) is technology that helps machines work correctly in the manufacturing industry. This will help develop the factory's operations into an Intelligence Factory.
Manufacturing Solution
CSI provides manufacturing customers with innovative IT solutions.
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