Validating point of cause
If you have an ongoing data quality management and reporting process in place this should just be another data quality rule that is routinely monitored.
Eventually all manufacturing processes will experience problems with non-conforming parts, equipment failure resulting in lost productivity or rework expenses and possible increased scrap.
Many times we may believe that the problem is resolved but in reality we have just addressed a symptom of the problem and not the actual root cause.
Correctly performed, a Root Cause Analysis can identify breakdowns in your processes or systems that contributed to the non-conformance and determine how to prevent it from happening again.
Root Cause Analysis (RCA) is usually a step in a larger problem solving exercise.
There are multiple tools that may be used during a Root Cause Analysis.
Waste in the form of machine downtime, product rework, increased scrap and the time and resources spent “fixing” the problem.
Root Cause Analysis (RCA) is a comprehensive term encompassing a collection of problem solving methods used to identify the real cause of a non-conformance or quality problem.
Root Cause Analysis is the process of defining, understanding and solving a problem.
Even with the best quality systems, training and Statistical Process Control (SPC), problems can happen. The problems you thought were resolved only to reoccur.
Repeat problems can be experienced in everyday life.