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.
Overall, the benefits of virtual simulation outweigh traditional design methods on numerous levels, enabling product design timescales to be met more efficiently, and ultimately in a way that helps companies to innovate and grow.
Your Enterprise Resource Planning (ERP) system needs to move at the speed of your business.
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KINGSTAR Soft PLC - Replace Your PLC with an EtherCAT-enabled Soft PLC for Real-Time Motion Control and Machine Vision
The top machine builders are switching from proprietary hardware-based PLCs, like Allen-Bradley, TwinCAT, Mitsubishi and KEYENCE, to open standards-based EtherCAT-enabled software PLCs on IPCs. KINGSTAR provides a fully-featured and integrated software PLC based on an open and accessible RTOS. KINGSTAR Soft PLC also includes add-on or third-party components for motion control and machine vision that are managed by a rich user interface for C++ programmers and non-developers alike.