3 Ways to Improve Industry 4.0 OEE
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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.
Why You Should Skip Free DNC Software
The benefits of DNC software when it comes to managing your CNC programs, machine parameters, and offsets are well known. As a result, many businesses look to offer some form of DNC software or their own, ranging from thousands of dollars to absolutely free.
The Modern Data Estate: Data Lake vs. Data Warehouse
Data comes at us fast and in many forms. These different forms can include structured, semi-structured, and unstructured data and many people do not realize that a data warehouse and a data lake handle the data differently.
The Smart Move to More Efficient and Safer Maintenance Operations
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.
Manufacturing Management Must-Haves for Hybrid Teams
By addressing some of the most prominent pitfalls, leaders can adopt this growing workplace trend without compromise. Here are three critical challenges to a remote work transition and steps every manufacturing leader can take to mitigate those difficulties today.
Increase Security and Control Costs During Network Upgrades
While COVID-19 may have many legacies, one of them will definitely be an explosion in the amount of network capacity required. Most enterprises are experiencing the need for increased network capacity.
Upgrading Industry 4.0 with edge analytics
A 2020 survey conducted by industrial automation provider Yokogawa revealed that 48 per cent of respondents valued productivity as a key focus in their digitalization strategies, while 40 per cent regarded operational efficiency as their main objective.
Industrial AI and Robotics Controller System in Waste Recycle Industry
A recycling center customer was looking for a high-performance, industrial-grade Artificial Intelligence (AI) solution that could successfully function in harsh environments. The customer needed an automated solution to help identify certain materials on the recycling line.
Servitization in Manufacturing: How to Stay on the Top
Servitization is a business model, wherein manufacturers, i.e product-focused businesses aim to become a solution-based business. The goal of this transition is to create new revenue streams as well as to strengthen customer relationships.
Rethinking the Purpose of a Corporation
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As someone who has spent his life engaged in driving growth at every level of business operation, it's always been evident to me that to be successful and meaningful to all stakeholders, a corporation needs positive purpose if it hopes to achieve sustainable profitability.
The Challenges of Smart Manufacturing
Big data is transforming a variety of sectors, ushering them into the era of Industry 4.0. However, having access to raw data and knowing what to do with it are at completely different ends of the digitalization spectrum.
Reaching New Levels of Operational Efficiency With Just-in-time Manufacturing
As we move further down the road to the full digitalization of business, this idea of maximizing outputs while minimizing operational costs is essential to keep manufacturing efficient and match market demand.
METROLOGY & INDUSTRY 4.0
Today's most sophisticated metrology systems drive quality assurance (QA) which has become a fundamental digital task which in and of itself facilitates efficient and cost-effective production processes.
What's the Difference Between a Servo Cable and Motor Cable?
Electrical engineers often work with motor cables and servo cables, which both supply motors with electrical energy and have a nominal voltage of 600/1,000V. But what exactly are the differences between the two cables?
How Digital Manufacturing Technology Can Fill the Talent Shortage
We've been in a phase of connecting machines through IIoT and the next step is expanding that connection to reduce reliance on workers. Right now, there are 2.1 million manufacturing jobs unfilled.
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