By connecting their factories all over the world, manufacturers can see the entire operation. They can make updates in real-time. They have vision into which plants are running efficiently or where there are production issues.
Traditionally, raw materials and inventory of finished goods were considered assets. This notion has changed because of JIT and now inventory is considered as waste or dead investment, incurring additional costs.
Strong authentication of all devices within an IIoT network is one of the fundamental requirements for securing these networks.
Although it's still in an evolutionary state, big data is already showing tremendous potential across nearly all industries, professions and applications.
In response to consumer demand and competitive pressures, product variation is on the rise. That variation changes the manufacturing calculus somewhat, as the required variation and corresponding complexity means that the ability to think critically and independently and adjust to changing circumstances is a priority.
Technology for Industrial Control Systems and SCADA are now available that allow for continuous monitoring of these critical systems. A baseline is created and any deviations can be alerted and acted upon.
Designing the optimal material handling systems requires a deep understanding of the product, process, and challenges inherent in the manufacturing process.
While OCT is widely utilized in other industries, its use in 3D printing is a new concept. Axsun has added OCT imaging capabilities to the printhead of industrial 3D printers to enable real-time, high-resolution scanning of each layer as it is being deposited.
Unsupervised Machine Learning is much more cost effective than Supervised Machine Learning because the algorithm does not need blueprints or understanding of the physical process to "learn" the behavior of the asset.
The greatest benefit seems to be in complex control of the factory. A SCADA system is extremely useful for all of the workers on the production team. The operator has the main overview of the production in real time, the technologist is able to reconfigure the recipes from the office when itÂ's necessary, for maintenance it is important when and why the failures happened and the shift leader can check who is responsible for that.
Every single product we manufacture from shafts, heads, shoulder pads and gloves at some point had gone through the 3D printing process.
By embracing the cloud, manufacturers no longer simply collect data but instead, gain actionable insights from it. Whether it's for quality improvement, sales forecasts or preventative maintenance, predictive analytics or machine learning can give manufacturers an edge over their competitors and possibly, a complete new service to sell.
Measuring the number of perfect picks, volume of picks, savings by replacing traditional RF guns are data points that allow 3PLs (third party logistics) to quantify both a rapid ROI (return on investment) and TCO (total cost of ownership)
IIoT-ready Human Machine Interfaces (HMIs) allow manufacturers to take data from the floor and share it with a local or cloud-based server, where it can be used company-wide, regardless of the user's location. The translation of machine data to actionable information allows companies to make cost-saving decisions and allocate resources more appropriately.
Industry 4.0 has been called the 'Fourth industrial Revolution', but unlike the first three, this revolution will be implemented at all sizes of manufacturing operations, not just large-scale corporate ones.
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Awe-inspiring power and superior flexibility is sheathed within the contoured casing of the HAWK MV-4000. This smart camera builds upon the previous generation by quadrupling processing power and achieving real-time trigger response using an FPGA. Its state-of-the-art algorithms make it an excellent tool for any industry, whether the requirement be code reading, code verification, inspection, guidance, gauging or a combination of all four.