New Report Offers Manufacturers a Path to AI Maturity
Scaling AI beyond pilots to enterprise-wide adoption is particularly challenging for an industry still in the early stages of achieving digital maturity and dealing with supply chain dependencies, strict regulations, and other industry-specific challenges.
Dynamic Scenario Modeling Optimizes Automated Supply Chain Planning
Supply chain organizations, however, must understand that AI also brings potential problems, such as loss of human expertise, algorithm bias, lack of quality data, system failures, and high initial capital investments.
Reliable Industrial Robots with AI - Enhancing Fail-Safe Operations with Predictive Maintenance
With industrial robots' hourly operating rate of $2500, the financial impact of their failure can escalate quickly. Thus, it is crucial to avoid such technical disruptions in operations, whether it involves one singular robotic arm or several hundred industrial robots.
MHP study proves it: Wireless charging increases productivity of AGVs by 50%
The aim of the MHP study was to demonstrate the advantages of process-integrated charging points using inductive point charging systems such as Wiferion over conventional charging zones using a real-life optimization scenario in a medium-sized production company.
Proactive Maintenance: The Key to Reducing Unscheduled Downtime
Thermal imaging, also known as Thermography is a powerful tool for preventative maintenance in manufacturing. It involves using infrared cameras to detect heat patterns and anomalies in equipment
Pittsburgh Steels Itself for Innovation With Launch of NVIDIA AI Tech Community
Carnegie Mellon University and the University of Pittsburgh will accelerate innovation and public-private collaboration through a pair of joint technology centers with NVIDIA.
Shaping Tomorrow's Workforce
The workforce has changed too, as younger employees replace retirees. New strategies and resources are needed to ensure prospective hires possess the right skill set and that employers are prepared to recruit, develop, and retain productive, satisfied workers.
Dürr builds an energy-efficient paint shop for Stellantis with repurposed robots
The new plant in northwest Morocco is intended to be a model for energy optimization, while simultaneously significantly increasing Stellantis' production capacity for battery-powered vehicles and hybrid models.
Decrease Downtime: Ergonomic Process for Healthier, More Productive Workplace
Preventing worker discomfort and addressing early signs of injury are proven to save companies time and money, all while improving worker satisfaction and reducing turnover.
Why Cloud-Based EDI Is Imperative for Manufacturing
An effective EDI in manufacturing must be as agile, accurate and secure as leading manufacturers themselves. The only way to achieve that is to use a cloud-based alternative to conventional solutions.
6 Salesforce capabilities for manufacturing sales enablement
This solution complements the core capabilities of Sales Cloud and Service Cloud with a set of industry-specific functionalities and provides advanced automation capabilities for workflows specific to manufacturing sales and customer service.
Bridging the Gap: Leveraging an ERP/MIS to Mitigate Skilled Labor Shortages
By investing in ERP technology, companies can not only survive but thrive in the face of a shrinking labor pool. As the Deloitte report suggests, "Rethinking work models is essential to predict the unpredictable,"
How Remote Industrial Operators Will Dominate the AI Race
Companies that secure data ownership today are the ones who will lead tomorrow or, in Olympic terms, will earn gold in the AI race.
Advanced Analytics in Manufacturing Logistics: Turning Data into Actionable Insights
Predictive analytics will leverage the power of AI and machine learning to forecast supply chain and market changes. Businesses that use predictive analytics will be able to mitigate risks more effectively
Mid-size manufacturers and ERP: Striking a balance of cost and guidance
At the end of the day, mid-size organizations face the same operational challenges as their larger counterparts, and should experience the same high level of service, optimized for their budget and needs.
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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.
