Reliable part counts are the backbone of good decision-making on the shop floor. Yet for many manufacturers, getting that number right is anything but easy. Some machines have unreliable or
For manufacturers operating multiple plants, getting real-time, apples-to-apples visibility is a major challenge. Each site often runs different systems, measures performance with different KPIs, or
Legacy MES systems and basic monitoring tools are often rigid and slow to adapt. While they claim to offer broad functionality, they’re rarely configured to reflect the nuances of your operations -
There’s no shortage of data on the modern shop floor. The problem is getting the right information to the right people - with the right context to make a difference. Supervisors walk the floor to
The Adoption of Big Data Analytics in Manufacturing The term “big data” refers to increasingly complex, massive data stores that can’t be effectively processed using traditional methods. In...
Key Takeaways: Accurate data interpretation is crucial for making informed decisions in manufacturing, but biases and assumptions can distort insights. Data-driven decision-making requires reliable...
Key Takeaways: Machine data analytics allows machines to communicate performance issues, making real-time adjustments possible. Leveraging data from machines helps manufacturers reduce downtime and...
Key Takeaways: Processing plant floor data in real-time improves decision-making and operational responsiveness. Real-time insights from smart systems help identify inefficiencies and reduce...
The manufacturing industry is a leader among data collectors. Sensor data, employee movement tracking, downtime data, predictive maintenance-related data, demand—there are a lot of opportunities to...