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.
This e-book explores the art and science of achieving a more reliable, accurate and faster leak test. We cover seven practical steps, ranging from getting station setup right, to how to effectively use data and digital process signature analysis.
Concluding our three-part series, Patrick Chabot looks at how individuals from the plant floor to the office engage with and benefit from a repair bay data analytics system that’s integrated with the rest of the data collection and analysis from the production line.
The Repair Bay, Part 2: Why enhanced defect data management should be seen as a positive on the plant floor
With this installment, Patrick Chabot emphasizes that it takes more than tools and processes to turn the repair bay into an effective defect data management station to drive continuous improvement. Buy-in, from the corner office to the plant floor, is crucial.
John Perkins discusses how an ICP-based accelerometer that’s connected to a test monitoring system can keep noise, vibration and harshness (NVH) testing on the factory floor and avoid the cost and complexity of having to use an anechoic chamber.
In process testing and digital waveform analysis isn’t only for discrete manufacturing where each part is serialized. Ron Pawulski explores how it can also be used to improve yield and quality control in pharmaceutical and medical device batch manufacturing.
John Perkins recaps a use case for noise, vibration and harshness (NVH) testing. A multi-channel sigPOD platform with a strategically located accelerometer helped a wheelchair manufacturer catch problems with motors and gearboxes during production to avoid warranty claims.
John Perkins cites a use case for noise, vibration and harshness (NVH) testing. Digital process signature analysis using an accelerometer is put to the test against the traditional microphone approach to catch nicked gears in automotive transmissions on the line during production.
Remember that Jurassic Park character, Nedry, who built an IT system no one else could manage? Joe Ventimiglio discusses how machine builders can avoid this mess by not trying to scratch-build a data-driven quality assurance system for a customer.