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.
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 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.
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.
Whether it be hybrid, multi, or on-premise, cloud technology has the ability to significantly increase productivity and scale processes throughout the entire organization.
Given the advanced state of anthropogenic climate change and widespread awareness of its human impact, it's time for manufacturing to adopt carbon offsetting practices.
The direct influence of a workforce in determining an organization's purpose can be as much, and, sometimes even more of a reason for an individual to enthusiastically and wholeheartedly work at a company as the financial compensation they receive.
Overall equipment effectiveness (OEE) has been a leading manufacturing performance metric for decades. As Industry 4.0 has taken off, manufacturers now have a range of new tools and techniques that can improve their OEE scores.
With many maintenance operations still planned and performed manually, often by experienced operators performing sometimes basic yet time-consuming tasks, it is easy to see how manufacturers are sometimes swimming against the tide when it comes to achieving efficiency goals.
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Automation & Networking - Featured Product
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