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Overall labor effectiveness (OLE) is a key performance indicator (KPI) that measures the utilization, performance, and quality of the workforce and its impact on productivity. Similar to overall equipment effectiveness (OEE), OLE measures availability, performance, and quality.
It is based on the Harrington Emerson way of thinking regarding labor efficiency. [ citation needed ] The generic form of OEE allows comparison between manufacturing units in differing industries. It is not however an absolute measure and is best used to identify scope for process performance improvement, and how to get the improvement. [ 3 ]
The operator's efficiency is measured as the time spent producing product divided by the time the operator is on duty. [2] For example: if an operator is assigned to run a CNC machine tool for seven hours, but they only have four hours' worth of continuous uninterrupted output of workpieces—their MOE rating is 57% (4 divided by 7) for this ...
An explanation of the difference between efficiency and (total factor) productivity is found in "An Introduction to Efficiency and Productivity Analysis". [1] To complicate the meaning, operational excellence , which is about continuous improvement, not limited to efficiency, is occasionally used when meaning operational efficiency.
Labor input can be biased by different methods used to estimate average hours [5] or different methodologies used to estimate employed persons. [6] In addition, for level comparisons of labor productivity, the output needs to be converted into a common currency.
The equation below (in Cobb–Douglas form) is often used to represent total output (Y) as a function of total-factor productivity (A), capital input (K), labour input (L), and the two inputs' respective shares of output (α and β are the share of contribution for K and L respectively).
In statistics, efficiency is a measure of quality of an estimator, of an experimental design, [1] or of a hypothesis testing procedure. [2] Essentially, a more efficient estimator needs fewer input data or observations than a less efficient one to achieve the Cramér–Rao bound.
The average product of labor (APL) is the total product of labor divided by the number of units of labor employed, or Q/L. [2] The average product of labor is a common measure of labor productivity. [4] [5] The AP L curve is shaped like an inverted “u”. At low production levels the AP L tends to increase as additional labor is added.