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Exact(11)
There are two Average run lengths (In and out).
The in-control and the out-of-control average run lengths are derived and tabulated according to various process shifts.
Next, an ant-colony optimization algorithm is proposed to solve the model in which a Markov chain approach is developed to calculate the average run lengths, ARLs.
The pure economic model is extended to the economic-statistical design by adding constraints associated with in-control and out-of-control average run lengths.
Due to the autocorrelation of the data, a simulation approach was adopted to assess both in-control and out-of-control average run lengths as the charting parameters change.
A fast and accurate algorithm based on the piecewise collocation method is presented for computing both the zero-state and steady-state average run lengths of the EWMAS chart.
Similar(49)
These properties include individual and overall measures (average run length, standard deviation run length, extra quadratic loss, relative average run length, and performance comparison index) for comparative analysis.
The average run length of the control scheme is computed by using the Markov chain approach.
The performance of the proposed chart is measured in terms of average run length.
Average run length comparisons between other procedures and the synthetic chart are presented.
The performances of the methods were compared in terms of average run length criteria.
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com