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.
The Intel announcement is a recognition of the value of U.S.-based manufacturing, and the business will support a very long supply chain of semiconductor assembly tool designs and manufacturing in the U.S.
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.
The most significant transformations are likely to happen in factories, where the differences between EV and ICE vehicles could reshape workflows and drastically reduce labor hours.
The benefits of industry 4.0 in manufacturing are clear, but unlocking them requires organizations to overcome capacity constraints. The keys are in these change management strategies.
Asset Performance Management software must evolve into knowledge hubs that not only deal with monitoring, but also gathering data from other dependent systems to provide much deeper insights and greater control.
The augmented demand for the technology from several industrial verticals due to the increasing use of simulation in the design of industrial tools by OEMs has facilitated the penetration of 3D animation solutions worldwide
New technologies and processes must have a demonstrable impact on a company's bottom line to make a convincing argument for adoption. In that spirit, here are seven recent manufacturing process improvements and how they affect profits.
The U.S. has been seeing declines in skilled labor during the past few years as experienced and knowledgeable employees continue to retire while fewer are choosing employment in factories or skilled trades.
While errors are far less likely with CNC machines than manual processes, they can still happen. When they do, they can create bottlenecks, lead to waste and, if not caught, hamper client-customer relationships through poor-quality products.
Records 1 to 15 of 800
These success stories seek to highlight the industry-level challenges faced, the resulting automation and motion control requirements that need to be addressed, the results that can be achieved and the key platform strategy that allows customers to distinguish themselves in the worldwide market. Download the WhitePaper.