Real Case Study on EWMA control chart - with design specifications & cost parameters
Budget: $30 – $250 USD
draft a real case study for exponentially weighted moving average (EWMA) Control chart for monitoring defectives in a production line (upper limit only) specifying the following parameters in the case study:
Process parameters:
P_0 The nonconforming fraction while process is in-control. It is estimated from the historical data collected during in-control phase (Phase I)
τ The lowest acceptable in-control ATS_0. Selected according to the maximum shift the user is interested to detect.
R Inspection rate. It is set based on the available resources such as manpower and equipment.
δ_max Maximum shift in nonconforming fraction. It is decided according to the maximum shift the user is interested to detect.
θ Probability of assignable cause to occur.
e Time to inspect the collected data from a certain sample.
D The duration between detecting an out-of-control state and eliminating the assignable cause.
Cost parameters:
B Sampling cost – Fixed component.
c Sampling cost – Variable component.
W Cost of observing and eliminating an assignable cause.
T Examining cost of false alarm.
M Cost per hour incurred due to the increasing d shift.
((((mention the references for the parameters if any in the case study)))))
please refer to the attached doc for more info.
Process parameters:
P_0 The nonconforming fraction while process is in-control. It is estimated from the historical data collected during in-control phase (Phase I)
τ The lowest acceptable in-control ATS_0. Selected according to the maximum shift the user is interested to detect.
R Inspection rate. It is set based on the available resources such as manpower and equipment.
δ_max Maximum shift in nonconforming fraction. It is decided according to the maximum shift the user is interested to detect.
θ Probability of assignable cause to occur.
e Time to inspect the collected data from a certain sample.
D The duration between detecting an out-of-control state and eliminating the assignable cause.
Cost parameters:
B Sampling cost – Fixed component.
c Sampling cost – Variable component.
W Cost of observing and eliminating an assignable cause.
T Examining cost of false alarm.
M Cost per hour incurred due to the increasing d shift.
((((mention the references for the parameters if any in the case study)))))
please refer to the attached doc for more info.
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