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.
Marine navigation device manufacturer FarSounder turned to MRP software to help with the complexities of inventory management and procurement.
The conventional deep learning model is a supervised model. It takes months of time to develop and train the model before it is ready for the production line. Here, Karina Odinaev explains why the conventional deep learning model is broken and what the alternatives are.
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?
Wireless connectivity enables manufacturers to more easily rearrange their production facilities to meet specific needs, minimizing costly downtime between production runs for multiple clients.
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.
By leveraging Generative AI, manufacturers can initiate a wide array of use cases in areas such as customer service, product and quality control, supply chain, logistics, predictive maintenance, marketing and sales, finance, compliance and legal, and research and development
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.
AI can be programmed to learn from the data ERP software gathers to make deeper and more accurate predictions regarding customers, buying habits, inventory levels, markets, material purchasing and more.
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.
Manufacturing is at the forefront of technological advancements, leveraging operational technology (OT) to streamline processes and improve productivity. However, this digital transformation comes with its fair share of cybersecurity challenges.
The logistics industry, like many others, is focusing more and more on meeting sustainability goals. This is why we can expect companies to prioritize eco-friendly solutions to address their carbon footprint.
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Automation & IIoT - Featured Product
The compact brushless EC-i motor combined with an EPOS4 positioning controller delivers a highly dynamic, powerful drive package with field-oriented control (FOC), high efficiency, and maintenance-free components in a high-quality industrial housing. The maxon IDX drives are suitable for use across the entire speed range (from standstill to maximum speed) and have an extremely high overload capability. Together with a positioning controller, the integrated sensor (single turn) enables absolute positioning.