Location-Based Automation- Why a Digital Twin of Moving Things is the Missing Piece for Successful Industrial Automation
This article outlines why the promising concept of the digital twin has often fallen short of its goal of end-to-end automation and connectivity.
There are many specific actions you can take to conserve water during your manufacturing processes, and the first step is finding and fixing unwanted leaks in your equipment and machines.
Though most manufacturers have long believed that people are maxed out, and when it comes to productivity, manual assembly lines are as optimized as possible, new technology is challenging that belief structure.
Metal finishing is a crucial process in many modern manufacturing operations. While the practice itself is by no means new, the industry has likely only scratched the surface of its potential.
ICON and Lennar to Build Largest Neighborhood of 3D-printed Homes Codesigned by BIG-Bjarke Ingels Group
ICON's 3D printing technology produces resilient, energy-efficient homes faster than conventional construction methods with less waste and more design freedom - keeping construction projects on schedule and on budget.
Traditionally, when we think about the cost of a product, we're thinking mainly in financial terms. But this isn't the only form of cost. Increasingly, a new measure that's taking on more importance for buyers - and regulators - is the carbon footprint cost.
When looking at how energy efficiency can lower housing costs, "Utility bills are the easiest target," said NREL engineer Kristin Field-Macumber. "Now we are also looking at advanced manufacturing and making production more efficient."
Inventory issues can cause delays, limit productivity and generate unnecessary expenses. Manufacturing storage must improve if the industry is to become more efficient and resilient.
Manufacturers are facing a troubling scenario: the need to maintain production levels in the midst of the largest workforce shakeup in our lifetime. The Industrial Internet of Things (IIoT) provides a highly effective, flexible and cost-efficient solution.
While a CNC user might employ various methods for data transfer, they can either be classified based on the type of data being transferred or the method of data transfer employed.
Without making wholesale production changes, factories can improve process efficiency with machine learning (ML). ML can increase production capacity by up to 20% while lowering material consumption rates by 4%.
With rapid advancement in automated and connected technologies, managing both new and old equipment simultaneously can be a challenging balancing act.
Siemens used IoT sensors and data analytics to create a digital twin of the factory. By analyzing and adjusting various parts of this model, the facility could see where inefficiencies were and which changes would have the greatest impact.
Manufacturers must know what challenges they face and how to overcome them to make the most of these investments. Here are the most common automation challenges and how to address them.
Smart manufacturers have already been aware that mass customization can be the key to a profitable business, as it helps boost customer satisfaction and win brand loyalty.
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