You need to be able to understand where scrap is coming from and why. Essentially, you need visibility into the plant that gives you the ability to see how the plant is operating. Right now, this may be a tedious, manual process, but it doesn’t have to be.
With SensrTrx Manufacturing Analytics, find the problem areas, and stop problems as they happen, in real-time. Use root cause analysis and process data to figure out why scrap occurred and apply context.
How Will Manufacturing Analytics Make My Job Easier?
- Determine, quickly, where your quality issues stem from
- Track scrap by reason codes
- Use root cause analysis to find out why scrap occurred
- Use process data to apply context
- Sustain the gains achieved through real-time monitoring
Resources Created Just for You
Top 3 Ways OEE Quality Can Be Improved
How do manufacturers improve or affect their scrap rates and OEE quality metrics? It all starts with having the right data. If you can understand the data, you can implement change.
Case Study: Oral BioTech Nearly Eliminated Scrap
In this case study, you’ll learn how Oral BioTech was able to increase OEE by 25%, nearly eliminate scrap, and create a culture of visibility and transparency.
Case Study: H&T Drove Continuous Improvement and Reduced Scrap Through Data
In this case study, you’ll learn how H&T reduced micro stoppages that were causing significant scrap, unplanned overtime, and increased costs by 71%