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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.
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:
During World War II, the growth of computing power led to further development of efficient manufacturing methods and the use of advanced mathematical and statistical tools. This was supported by the development of academic programs in industrial and systems engineering disciplines, as well as fields of operations research and management science ...
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 ...
Automation, real-time data analytics, machine learning, and AI are transforming how businesses operate. They enable predictive maintenance, smarter decision-making, and more personalized customer experiences. Technology not only speeds up processes but also provides tools to measure and analyze efficiency in ways that were not possible before.
Lean accounting methods have been developed in recent years to provide relevant and thorough accounting, control, and measurement systems without the complex and costly methods of manually driven ABC. Lean accounting is primarily used within lean manufacturing. The approach has proven useful in many service industry areas including healthcare ...