For most manufacturers, labor tracking still feels like a disconnected process. Time clocks sit in one system, job data lives in another, and payroll has to piece it all together later. This creates
You ran the kaizen event. You saw the improvement. But two months later… is anything actually different? It’s a challenge every CI leader faces. Gains made during Lean or Six Sigma initiatives often
Manufacturing schedules look great on paper—until they meet the real world. Every day, jobs run late. Machines sit idle. Priorities shift. And despite everyone’s best efforts, it’s hard to answer one
Even the most capable ERP system can only tell you what was planned. It can’t tell you what’s actually happening on the floor, right now. For most discrete manufacturers, job tracking still relies on
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...