TY - JOUR
T1 - Implementing economic and economic statistical designs for MEWMA charts
AU - Linderman, Kevin
AU - Love, Thomas E.
PY - 2000
Y1 - 2000
N2 - Economic designs (with or without the addition of statistical constraints) provide reasonable approaches to the problem of choosing the parameters of a control chart. For the multivariate exponentially weighted moving average (MEWMA) control chart, the optimal choice of control limit, sample size, exponential weights for past observations and sampling interval according to economic and statistical considerations is a complex problem. This paper provides an algorithm for evaluating the ARL values for the MEWMA chart through simulation and then using these results to determine the optimal chart parameters given process cost and time information.
AB - Economic designs (with or without the addition of statistical constraints) provide reasonable approaches to the problem of choosing the parameters of a control chart. For the multivariate exponentially weighted moving average (MEWMA) control chart, the optimal choice of control limit, sample size, exponential weights for past observations and sampling interval according to economic and statistical considerations is a complex problem. This paper provides an algorithm for evaluating the ARL values for the MEWMA chart through simulation and then using these results to determine the optimal chart parameters given process cost and time information.
KW - Economic Control Charts
KW - Exponentially Weighted Moving Average Control Charts
KW - Multivariate Control Charts
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U2 - 10.1080/00224065.2000.11980032
DO - 10.1080/00224065.2000.11980032
M3 - Article
AN - SCOPUS:0000749535
SN - 0022-4065
VL - 32
SP - 457
EP - 463
JO - Journal of Quality Technology
JF - Journal of Quality Technology
IS - 4
ER -