We talk about how Sciemetric’s new partnership with Cincinnati Test Systems (CTS) gives manufacturers worldwide access to the combined products and expertise of three world-leading masters of leak and other in-process test solutions.
Machine vision images and related data can be used for much more than basic pass/fail determination during the process cycle. We get into how this data can be collected, correlated and analyzed will all other production data as part of a comprehensive IIoT strategy.
So, your plant collects data—but how are you using that data to take quick, decisive action on the plant floor and inform timely decision-making in the corner office? We dive into five ways smart manufacturers are using their data to raise the bar on quality and competitiveness.
When a product comes back with a warranty claim, the next step is to determine root cause. Robert Ouellette discusses how digital process signature analysis is the key to trace root cause, address the problem fast, contain the scope of a recall and ensure it never happens again.
Out of all the testing stations on a production line, leak testing is the station most prone to causing bottlenecks. CEO Nathan Sheaff summarizes how manufacturers can take advantage of digital technology and advanced data analytics for more efficient, productive operations.
We recap our five blog posts that captured the most attention in 2017, from getting your leak test right and containing warranty costs with data to how the repair bay can contribute to a more effective defect data management strategy.
Aaron Alberts explores how, when it comes to collecting process data to raise the bar on quality and productivity, you can never have too much. The key is to break down the data silos across the plant floor and get all that data into one centralized database for analysis.
When it comes to leak, a smaller part is faster to test. But you can’t just make a part smaller – or can you? Steve White discusses ways to shorten fill time by considering test station fixturing and connections, the part’s internal geometry and supply pressure.
We teamed with Smart Manufacturing Magazine on a survey to better understand how readers use data collected from the production line versus how they would like to use it, to drive productivity, quality and profitability in their plants. Here is what the results tell us.
The “R” word, recall, makes manufacturers cringe. Richard Brine digs into how the scope and impact of a recall can be dramatically reduced if all relevant production data has been collected and organized by serial number to create a complete birth history record for each part.