Digital process signature analysis: The first step to Industry 4.0
Many manufacturers continue to focus on data collection rather than data utilization. They don't yet have the modern data analytics tools in place that will allow them to squeeze from their part data the actionable insight that is crucial to meeting Industry 4.0 benchmarks they are seeking for quality, yield and traceability. Learn why digital process signatures are your first step to meet Industry 4.0 objectives.
Optimize manufacturing test cycle times using digital process signatures
Key considerations for a data collection strategy in the connected factory
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.
What manufacturing data should I be collecting to improve part quality? | Manufacturing Data Series, Part 1
4 ways to make better use of data from stations on the production line
Data is everywhere on today’s production lines. The challenge is that though manufacturers may be collecting large volumes of data, it often isn’t being used proactively or efficiently to solve day-to-day problems. Consider the following best practices to start making better use of your production line data.
Want to improve your manufacturing processes? Rethink your machine vision data management strategy
Machine vision images and data are a valuable part of the Manufacturing 4.0 equation. The problem is that machine vision images and data are often trapped in silos across the plant floor, with images stored in formats that make them difficult to access and analyze. With the right data management strategy, you can make this data accessible to your team so it can drive value.
Sciemetric EDGE proves its powerful monitoring flexibility—ensuring popcorn quality!
How long should I store my manufacturing production data? | Manufacturing Data Series, Part 2
Engine cold testing: Benefits of the “cold test” method for end-of-line engine testing
Using data to contain the damage of a recall
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.