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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.
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]
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:
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.
Overall Equipment Effectiveness (OEE): This is used mainly in manufacturing to evaluate how effectively a piece of equipment is used. It combines availability, performance efficiency, and quality of output into a single metric.
Capacity planning is the process of determining the production capacity needed by an organization to meet changing demands for its products. [1] In the context of capacity planning, design capacity is the maximum amount of work that an organization or individual is capable of completing in a given period.
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The batch control industry and the packaging industry (discrete control of packaging machines) are the focus of a set of standards and guidelines that are similar but have differences driven by equipment functionality. [3] Standard defined machine states and operational flow [4] Overall Equipment Effectiveness (OEE) data [4]