Without real quality measurements, scrap is just money going down the drain.
Correctly calculating quality is essential to a reliable, realistic OEE. To calculate quality of a part, Mingo collects part counts and reject reason codes directly from the PLCs or sensors as well as from input from operators or supervisors.
This includes data taken from specialized testing equipment and data beyond reason codes such as temperature, pressure, speeds, vision systems, and any other data points accessible.
Get alerts directly to your mobile phone or via manufacturing insights emails when scrap is higher than normal, giving you the ability to prevent issues from becoming worse.
Use Pareto Charts to help determine the most common causes of scrap. When you know common causes, you can use trend analysis to determine how the plant is running.
Track trends in your data to see how your plant is running, both in real-time and over an extended period of time.
Look at scrap by the number of times a scrap reason occurred, average number of scrapped parts per entry, total number of scrapped parts by reason code, or even by shift to determine if one shift has more scrap than another.
Using trends, you can easily see the effect of process or system changes over the long term. You can see when scrap is increasing or decreasing and quickly take action to resolve the issues.
Mingo is the smartest and most complete analytics and productivity platform for growing manufacturing businesses. With solutions so effective, you’ll wonder how you ever ran your factory without it.