Articles Tagged with ''data collection''

The DAQ3120 Benchtop Data Acquisition System is a modular solution that combines a 6½-digit digital multimeter (DMM) and a data logger in one compact design.

Recently, I ordered gym clothes online using an AI's size recommendation based on my past purchases, which suggested a "medium." Trusting the technology, I placed the order, but the clothes didn’t fit. While this was a minor inconvenience for me, it sparked a thought: What if such inaccuracies occurred in manufacturing?

Before 2018, Trace Die Cast struggled with complex quality reports that were time-consuming to compile. That year, they adopted ZEISS PiWeb, enhancing data management and improving communication for quicker decision-making on the shop floor.

Collecting measurement and test data in manufacturing is vital for enhancing productivity and cutting costs. However, if key practices are not followed, resources can be wasted. To maximize the value of quality data, three essential actions must be taken.

In the fast-paced manufacturing industry, agility is vital for adapting to design changes. A centralized method for tracking modifications ensures team alignment, reduces miscommunication, and enhances productivity, fostering collaboration to keep up with innovation.

When errors occur in manually entered data for project reports, it’s crucial to communicate with your supervisor and request more time to correct them. Acknowledging that mistakes happen, the priority should be on identifying and validating any unusual entries to ensure the report is reliable.

Nicholas Blake of Advex AI explains how synthetic examples can be used to help improve training models, what machine vision offers, and how AI inspection can cut training time down from years to hours.

Traditional control charting techniques, despite their long history, can lead to wasteful outcomes due to certain mathematical properties. This article examines these issues using a Minitab dataset and introduces a free 30,000-foot-level metric-reporting app as an alternative, supported by Minitab analyses.

We are going to be dissecting six data integrity issues that require resolution prior to taking any further steps into the overall quality control process.

Are you throwing away a significant portion of your budget without realizing it? How often do engineers, scientists, and analysts regenerate knowledge work—solving problems or similar problems that have already been solved?