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Overall equipment effectiveness [1] (OEE) is a measure of how well a manufacturing operation is utilized (facilities, time and material) compared to its full potential, during the periods when it is scheduled to run. It identifies the percentage of manufacturing time that is truly productive.
There is a similar lean manufacturing KPI called overall equipment effectiveness (OEE). The major difference between OEE and MOE is that the OEE rating is on the machine and the MOE is on the person. [citation needed] MOE is a measure of operator performance only, regardless of the type of machine or the speed of the machine they are working on.
OLE also accounts for labor utilization. Understanding where downtime losses are coming from and the impact they have on production can reveal root causes—which can include machine downtime, material delays, or absenteeism—that delay a line startup. Calculation: Availability = Time operators are working productively / Time scheduled Example:
The OEE shows how well a company uses its equipment and staff. OEE is calculated on the base of three elements: Availability – compares the planned and the actual time of the process run. For example, if a machine is planned to run 100 hours a week, but in reality runs only 50, then the availability is 50%. [3]
Simply multiply the standard cycle time by the number of parts and divide by the part or process OEE %. If production is scheduled to produce 500 pieces of product A on a machine having a cycle time of 30 seconds and the OEE for the process is 85%, then the time to produce the parts would be calculated as follows:
Overall Equipment Effectiveness (OEE): This is used mainly in manufacturing to evaluate how effectively a piece of equipment is used. It combines availability ...
The Mil-HDBK-217 reliability calculator manual in combination with RelCalc software (or other comparable tool) enables MTBF reliability rates to be predicted based on design. A concept which is closely related to MTBF, and is important in the computations involving MTBF, is the mean down time (MDT). MDT can be defined as mean time which the ...
MES may operate across multiple function areas, for example management of product definitions across the product life-cycle, resource scheduling, order execution and dispatch, production analysis and downtime management for overall equipment effectiveness (OEE), product quality, or materials track and trace. [2]