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
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
The power of data brought to life by the rise of the Industrial Internet of Things (IIoT) and the Fourth Industrial Revolution (Industry 4.0) technologies is undisputed. For manufacturing, it’s no...
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...
In parts 1 and 2, we discussed the business problem and preprocessing involved with detecting anomalous behavior on machines. In this post, we’ll cover some creative data wrangling and clustering...