OEE takes into account machine availability, performance, and quality to provide a holistic view of a production line's efficiency. By capturing and analysing real-time data, LineView helps manufacturers improve OEE, thereby maximising the utilisation of existing resources.
Purdue Polytechnic to dedicate nation's largest smart manufacturing ecosystem for engineering technology
This interdisciplinary program synergizes science, engineering, information systems and computing, focusing on manufacturing's next evolutionary step called Industry 4.0. The new facility ecosystem also has wide-ranging applications, opening up potential curriculum expansion.
The market size for AR applications was estimated to be $15.2B in 2021 and growing to over $90B by 2028. This shows clearly that companies are investing heavily in this transformative technology but why is it such a key innovation and how can you make best use of it?
AM Research Publishes In-Depth Market Study on Additive Manufacturing for Military and Defense; Estimates $0.3B in Direct DoD Spend in 2023, Growing to $1.8B in 2032
The comprehensive study sheds light on the rapid evolution and potential impact of additive manufacturing technologies on the defense and military landscape.
With each new innovation in society, we see corresponding headlines and public concern about how that innovation will be responsible for job loss. This has been true of the printing press, the automobile, and the computer.
Undergoing a digital transformation is necessary for many manufacturing businesses, especially when they must stay competitive in challenging market conditions. However, if the responsible parties rush things, they'll increase the likelihood of several security risks.
Over time, heavy machinery endures wear and tear before eventually breaking down. While replacing this equipment is a must, manufacturers can extend the life of their heavy machinery. Here are five strategies for long-term preservation.
This article delves into how IoT solutions integrated into manufacturing processes can help achieve industrial sustainability.
By integrating AR/VR (augmented reality and virtual reality), robotics, machine learning, and AI (artificial intelligence), AaaS solutions automate repetitive tasks, optimize processes, and facilitate data-driven decision-making.
The fact that post processing metal parts requires such intensive manual intervention throws up a series of follow-on problems. These include part-to-part quality inconsistencies, repetition fatigue, significant health & safety risks.
To avoid choosing between the lesser of two evils, we offer to dive into cases where customization is fully justified and even more - when it's necessary for the EIoT solution to succeed.
Getting a robust, firing-on-all-cylinders data operation is a far less labor-intensive process than many seem to suspect, and the dividends it yields invariably outpace whatever effort is expended on getting it off the ground.
Board members and C-suite executives are asking when AI pilot projects can begin, with a preference for a start date of yesterday. Meanwhile, the plant floor reality is nowhere near ready for AI.
In this blog article, we delve into how AI can counteract inflation, offering robust solutions to the complex challenges of today's manufacturing industry.
As recently as five years ago, the only way to teach a machine vision system what a good product looked like was to laboriously show it every possible fault, mark and annotate the errors and catalogue them.
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