The Real World Quality Journey
Quality 4.0 blends technology with traditional methods of quality, in order to help manufacturers achieve operational excellence. It leverages technology to collect data enterprise-wide to provide visibility into the complete product lifecycle and manage workflows.
Procurement Technology - What it Can and Cannot Replace in a Manufacturer's Journey Towards Supply Chain Resilience and Agility
This article reviews the key elements in supplier management for manufacturers and how Source-to-Pay procurement technology can support the journey towards supply chain resilience and agility in times of crisis.
Digital Manufacturing and IIoT: A Platform for Success
To truly maximize IIoT, manufacturers need a single solution that supports scalable-IIoT deployments and creates a collaborative environment that's data-driven and provides transparency across the entire production process.
Omron Helps Life Sciences Company Upgrade Prototype with Cutting-edge Technology and Cut Costs by 30% With Solution Using NX-I/O
Omron gave preference to EtherCAT over DeviceNet because the latter is a slower CAN-based protocol designed for sensors and it uses screw-type connections that can be difficult to install and maintain.
Five Steps to More Effective Operational Data Collection
In the increasingly high-tech, high-touch realm of manufacturing, actionable data is an ever-growing factor in business and technical decision making. It's tempting to think that data collection can be a fully automated process, especially in the age of IoT and AI.
Understanding the Common Vulnerability Scoring System
The common vulnerability scoring system (CVSS) provides manufacturers a way to assess the principal characteristics of a vulnerability and produce a numerical score reflecting its severity.
IIoT Protocols: Comparing OPC UA to MQTT
There are several different architectures and protocols that can be used to gather data on the factory floor. The two most common protocols are very different, which makes them worth comparing for their effectiveness in IIoT - OPC UA and MQTT/Sparkplug.
Camera Specs - Not the Frontier in the Era of AI - Autonomous Machine Vision (AMV) Offers a New Approach to Visual QA
Machine vision engineers are pushing the frontiers of camera specifications to offer solutions with incredible resolution. Yonatan Hyatt explains why Autonomous Machine Vision (AMV) is pushing the boundaries of artificial intelligence, not camera specifications.
Building a Digital Twin
The increasing availability and affordability of technologies such as Internet of Things (IoT) enabled devices, data interpretation software and bandwidth mean that more manufacturers can use digital twins to improve their processes.
Vertical Integration - The Key to Micro Molding Success
Put simply, vertical integration is a strategic structure which means that a company owns the supply chain for its products or services. Fundamentally, this is considered to be important as it implies a certain and robust degree of control over operations.
Design Like a Pro: Best Practices for IIoT
While the IoT has shown incredible promise within the corporate and consumer environment, the true value of the IoT can be found in the industrial space, which has aptly become known as the Industrial Internet of Things (IIoT).
Edge AI technology In Manufacturing Operations
A downside of so much automation is that there is now a heavier dependence on machinery/robots to perform action. For some lines, if one of robot goes down, the entire line does.
How Manufacturers are Leveraging New Technology to Meet Customer Demands
AI-guided selling enables analytics to move from descriptive to predictive and prescriptive analytics. The process uses customer and sales data for a scientific, data-driven approach to understand buyer processes and behaviors.
Physical Manufacturing, Outsourcing and the Digital Age of Crisis
While the global covid19 pandemic seems to be fading into the annals of history, the next crisis loomed large before the last one could begin to fade away into obscurity. What do these two most recent crises in the US demonstrate to the manufacturing world?
Simplifying AI Deployment for Quality Inspection
In the vision market, we're really at that initial AI and machine learning phase. AI for inspection excels at locating, identifying, and classifying objects and segmenting scenes and defects, with less sensitivity to image variability or distortion.
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