6 Big Losses for OEE

6 Big Losses of OEE

There are 6 big losses of OEE (Overall Equipment Effectiveness). 6 Big Losses Breakdowns Setup and Minor Adjustment Idling and Minor Stoppages Reduced Speed Defects and Rework Startup Loss Each of these losses saps a small portion of potential production you could be getting from your machines. Total productive maintenance Read more…

Y=f(X)

Y=f(X)

Most processes are governed by a basic transfer function, Y=f(x). It is pronounced “y equals f of x.” Y is the output, or “dependent variable”. X is the input (or inputs). Essentially, there are some input parameters that affect the output. When you change one of the input variables, you Read more…

error proofing server bank

Error Proofing

Error proofing, also referred to as mistake proofing or poka yoke, is the art of building processes that make it nearly impossible to make a specific mistake. Error proofing is targeted at specific errors—they are not general in nature. This concept is predicated upon the concept that errors cause defects. Read more…

Nominal Data

Nominal Data

Nominal data is a type of qualitative data. It contains a set of possible values that has no measurable sequence to them. For example, “favorite pet” would be nominal data set. The values might include dog, cat, snake, frog, and horse. While most people would agree that dogs rank much Read more…

DPMO

DPMO is the abbreviation for defects per million opportunities. It is a metric commonly used in six sigma. Presumably, if you are engaged in an active process improvement effort, you will have made (or will eventually) make significant improvements to your quality. For that reason, it can be difficult to Read more…