Talking Industry 4.0 with Mark Kojak, HARTING, Inc.
Connected Manufacturing is the ability to drive data that is meaningful to the cloud for big data analysis. The current trend in Industry 4.0 is to be able to sense specific points in end equipment to enable advanced analytics to be run on distributed edge computing devices to determine whether machines are operating within tolerances and predict a potential failure before it happens.
How Innovations Are Driving Advanced Technology in Manufacturing
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.
The Benefits of Just-in-Time Inventory
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.
Why PKI matters for the IIoT
Strong authentication of all devices within an IIoT network is one of the fundamental requirements for securing these networks.
How Data Management Can Keep the Supply Chain on Track
Although it's still in an evolutionary state, big data is already showing tremendous potential across nearly all industries, professions and applications.
Power to the People: How Humans are Heading Back to the Factory Floor
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.
Cybersecurity in the Factory
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.
Beyond Conveyors: Conveying a Quality Solution
Designing the optimal material handling systems requires a deep understanding of the product, process, and challenges inherent in the manufacturing process.
Optical Coherence Tomography (OCT) Technology
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.
Machine Learning for Asset Maintenance
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.
Industry 4.0, IIoT and Connected Manufacturing
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.
The Future of 3D Printing and Sports
Every single product we manufacture from shafts, heads, shoulder pads and gloves at some point had gone through the 3D printing process.
Reining in on industrial automation: The benefits of cloud computing in the manufacturing industry
By embracing the cloud, manufacturers no longer simply collect data but instead, gain actionable insights from it. Whether its 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.
Increased Accuracy and Fulfillment Rates Reduces Training Time and Speed of Products to Customers
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)
Top Misconceptions About the IIoT
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 users location. The translation of machine data to actionable information allows companies to make cost-saving decisions and allocate resources more appropriately.
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