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.
Diamond Precision Engineering was tasked with making a giant guitar to mark the 80th birthday of Sir Paul McCartney.
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?
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.
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.
The aerospace industry constantly pushes the boundaries of what's possible, and the demand for advanced manufacturing techniques has never been more critical. This pursuit of innovation has led to a significant shift toward 3D metal printing.
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.
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 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.
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Engineering - Featured Product
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