Manufacturing the future: How plants can harness the power of AI
AI can augment human labor and decision making at every stage of the manufacturing process. It can manage logistics, predict maintenance needs and ensure products meet quality standards.
This 3D printer can watch itself fabricate objects
Computer vision enables contact-free 3D printing, letting engineers print with high-performance materials they couldn't use before.
Steel King Selective Racking Systems to Bring New Efficiencies to North Pole Warehouse and Fulfillment Centers
A one-of-a-kind fulfillment center with a unique timeline for picking, packing, and magically delivering orders worldwide within a 12-hour timeframe, has selected Steel King for the new selective pallet racking system for its North Pole warehouse and distribution facilities.
Heat pump with heat exchanger instead of electric heatings Saving 169 MWh of electricity per year
To exploit the existing potential in the cleaning of engine components, a premium car manufacturer replaced the electric water heating system in its Austrian works with a heat pump. This has resulted in electricity savings of approx. 70 percent per year in this process step.
Multi-Enterprise Platforms Foster More Efficient, Resilient Supply Chains
As supply chain models have evolved, brands and retailers need to support a collaborative and transparent exchange of information with multiple levels of suppliers and partners to see the maximum benefits from their systems.
The secret to success in food & beverage manufacturing
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.
Making the case for Augmented Reality
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.
Automation Depends on People
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.
5 Security Risks of Rushed Digital Transformation
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.
5 Strategies for the Long-Term Preservation of Heavy Machinery
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.
Achieving sustainable manufacturing with IoT technology
This article delves into how IoT solutions integrated into manufacturing processes can help achieve industrial sustainability.
How Automation-as-a-Service Combined with AI & AR/VR Is Benefitting Manufacturers
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.
CLEANING UP AM'S DIRTY SECRET
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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Using AI to Collect & Leverage Data
Data is the foundation of Industry 4.0. While skilled workers will always be essential, data is reshaping the manufacturing landscape, enabling automation of repetitive tasks, empowering smarter decision-making with AI assistance, and reducing defects and downtime. This shift allows small and medium-sized manufacturers (SMMs) to compete more effectively on quality, speed, and cost. While AI and machine learning systems typically require around two years to collect enough data to reach their full potential, manufacturers can start seeing benefits almost immediately with basic analysis tools and dashboards. Our MEP National NetworkTM expert explains how in this Manufacturing Tomorrow article.
