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.
Ultimate Customization - When Is It Justified for Enterprise Internet of Things?
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.
The Data Revolution Is Transforming Manufacturing-Don't Fall Behind
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.
Running on fumes? AI isn't possible without proper data management
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.
Artificial Intelligence: Mitigating Inflation in the Manufacturing Industry
In this blog article, we delve into how AI can counteract inflation, offering robust solutions to the complex challenges of today's manufacturing industry.
Why training with few good images is fake news
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.
The Manufacturing Skills Gap: How to Prepare for the Future of Work
In this article, Bjoern explores how performance marketing can help the manufacturing industry address the skills gap and prepare for the future of work. It emphasizes attracting skilled professionals through culture and project showcases.
BEYOND THE SURFACE: THE POWER OF DENSITY DETERMINATION IN ADDITIVE MANUFACTURING
In this article, we will delve deep into the significance of density determination in AM, exploring how it assesses the quality of metal 3D printed parts and the impact it has on various industries.
HARDWARE AS A SERVICE: A NEW PARADIGM FOR SERVICE CONTRACTS
A flexible revenue approach is a defining feature of HaaS, offering organisations a 'pay-as-you-go' model instead of the traditional CapEx hardware purchasing model. This offers manufacturing organisations, regardless of their size, several advantages.
The Future of Injection Molding Relies on Automation
While demand for injection molding products grows, manufacturers are grappling with persistent challenges, particularly staffing and output.
The Hidden Risks of Industrial Control System Manufacturers: Why ICS Environments are Vulnerable
Threat actors are increasingly resorting to supply chain attacks to break into critical industrial sectors such as manufacturing, defense, energy, transportation, healthcare, food and agriculture
ABB survey reveals unplanned downtime costs $103,000 per hour
It emphasizes the importance of effective maintenance strategies and service partnerships. 92% of respondents are interested in how outcome-based maintenance agreements can boost business success
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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.
