Non-Destructive Testing (NDT) methods with Digital Inspection Technologies
By combining NDT with digital tools like AI, machine learning, and real-time monitoring, they can quickly identify issues, track trends, and make more informed decisions. This integration improves accuracy, reduces inspection time, and enhances overall product reliability.
How to Build a Proactive Obsolescence Management Plan for Critical Components
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All products eventually become obsolete, which can have significant consequences when it affects critical components. Proactive strategies can mitigate these risks. How can organizations develop an effective obsolescence management plan or refine their current one?
Outlook for manufacturing to 2028
Technological advancements, consumer demand and global markets have always had the power to change the manufacturing industry, and in the coming years it is inevitable that we will see some big changes.
Top Use Cases of RPA in Warehouse and Inventory Management
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RPA is no longer experimental in logistics-it's essential. Whether reducing order processing time, maintaining inventory accuracy, or automating invoice reconciliation, the use cases here show how robotic automation drives speed, accuracy, and cost-efficiency at scale.
Automating the 'last mile' of package deliveries
The use of optical character recognition enables parcels to be quickly scanned and assigned to a bin that will collate all the packages for a delivery area. Automation allows line speeds to be increased and reduces sorting errors, boosting efficiency.
Bridging the Communication Gap: A Business Case for AI in Manufacturing
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English may be the language of business, and yet only 20% of global workforces speak it fluently. The communication gaps in the global, diverse industry of manufacturing have been critically overlooked.
Do Our Youth Hold the Key to Manufacturing's Skills Crisis?
Matt Eden, Engineering Director at cable assemblies manufacturer GTK, makes the case for answering the UK's skills gap problem with forward-thinking hiring practices.
How to Achieve Sustainable Production?
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By leveraging cutting-edge digital solutions, sustainable production transforms traditional manufacturing processes by increasing efficiency, reducing waste, and conserving energy, pushing industries toward a more resilient and eco-friendly future.
The Future of IoT Analytics: How AI and Big Data are Changing the Industrial Sector
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Imagine trying to keep track of everything happening in a giant factory, where robots build cars, sensors check the temperature, and cameras inspect for defects. Without a system to connect all that information, it would be chaotic.
Adjusting M&A Strategies in Response to Changes in Global Trade Policies and Tariffs
Many of the deals announced in the first quarter were initiated last year, during a period of growing optimism driven by the prospect of a business-friendly US administration. However, recent trade policies have dampened optimism, and uncertainty has returned to the market.
Circular Manufacturing Sets New Standards for Material Life Cycle Innovation
Efforts are also underway to use normally discarded items as the foundation for new products or to change material innovations to make things easier to break down or recycle.
In the industrial maintenance space, knowledge is key for employee retention
An investment in ongoing education is really an investment in your employees, and it can significantly boost engagement, morale, and retention.
Advances in Preventive Maintenance Are Refining the Manufacturing Supply Chain in 2025
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The need for innovative care and repair technologies grows as uptime and reliability become larger concerns. Recognizing which solutions offer the greatest potential for a facility is the first step to optimizing machinery throughout the supply chain in 2025.
How Product Catalog Management Supports Circular Supply Chains in Manufacturing
Most ERP and PLM systems track products only through production and sale, not reuse, refurbishment, or recycling. This fragmentation causes material loss, inefficient remanufacturing, slow reverse logistics, and compliance failures.
What is the 2:1 Ratio For Linear Plain Bearings?
The 2:1 Ratio represents the maximum allowable moment arm distance relative to bearing length without causing binding or motion restriction, ensuring optimal performance in plain linear bearings.
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Automation & IIoT - Featured Product
PI USA - Hexapods for 6-Axis Precision Automation
PI Hexapods simplify multi-axis alignment / positioning with a programmable pivot point, tool/work coordinate systems, virtual programming software.
