Our scrap rates and rework costs have increased by 15% this quarter. We are using basic SPC charts, but we aren't catching the defects until the end of the line. Does anyone have experience implementing real-time quality monitoring systems that actually pay for themselves quickly?
3 answers
To tackle COPQ, you need to move from "Detection" to "Prevention." If you are only catching defects at the end, your "Internal Failure Costs" will stay high. I recommend implementing automated optical inspection (AOI) or IoT sensors at critical "bottleneck" stations. By catching a deviation the moment it happens, you save the added value of all subsequent processes. We saw an ROI in just six months by integrating our SPC software directly with the machines. This allowed for an "auto-stop" feature whenever the process mean shifted beyond three sigma, preventing the production of thousands of defective units.
Are you tracking your "Hidden Factory" costs? I mean the unofficial rework that operators do at their benches without logging it. I suspect your true COPQ is much higher than the 15% you are seeing in the official scrap reports.
Use a Pareto Analysis to find the "Vital Few." Usually, 80% of your scrap costs are coming from just two or three specific part numbers or machines. Focus your energy there first.
Agree 100%. Targeted root cause analysis on the top three scrap contributors is much more effective than trying to fix the entire plant's quality all at once.
Kevin, you hit the nail on the head. We started a "No-Fault Found" log to track exactly that. It turns out our technicians were spending nearly 20% of their time "tweaking" parts just to get them to pass. Documenting this "hidden" labor cost was the wake-up call management needed to finally invest in better upstream calibration tools.