TY - GEN
T1 - Indirect cycle-time quantile estimation for non-fifo dispatching policies
AU - Bekki, Jennifer
AU - Mackulak, Gerald T.
AU - Fowler, John
PY - 2006
Y1 - 2006
N2 - Previous work has shown that the Cornish-Fisher expansion (CFE) can be used successfully in conjunction with discrete event simulation models of manufacturing systems to estimate cycle-time quantiles. However, the accuracy of the approach degrades when non-FIFO dispatching rules are employed for at least one workstation. This paper suggests a modification to the CFE-only approach which utilizes a power data transformation in conjunction with the CFE. An overview of the suggested approach is given, and results of the implemented approach are presented for a model of a non-volatile memory factory. Cycle-time quantiles for this system are estimated using the CFE with and without the data transformation, and results show a significant accuracy improvement in cycle-time quantile estimation when the transformation is used. Additionally, the technique is shown to be easy to implement, to require very low data storage, and to allow easy estimation of the entire cycle-time cumulative distribution function.
AB - Previous work has shown that the Cornish-Fisher expansion (CFE) can be used successfully in conjunction with discrete event simulation models of manufacturing systems to estimate cycle-time quantiles. However, the accuracy of the approach degrades when non-FIFO dispatching rules are employed for at least one workstation. This paper suggests a modification to the CFE-only approach which utilizes a power data transformation in conjunction with the CFE. An overview of the suggested approach is given, and results of the implemented approach are presented for a model of a non-volatile memory factory. Cycle-time quantiles for this system are estimated using the CFE with and without the data transformation, and results show a significant accuracy improvement in cycle-time quantile estimation when the transformation is used. Additionally, the technique is shown to be easy to implement, to require very low data storage, and to allow easy estimation of the entire cycle-time cumulative distribution function.
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U2 - 10.1109/WSC.2006.322962
DO - 10.1109/WSC.2006.322962
M3 - Conference contribution
SN - 1424405017
SN - 9781424405015
T3 - Proceedings - Winter Simulation Conference
SP - 1829
EP - 1835
BT - Proceedings of the 2006 Winter Simulation Conference, WSC
T2 - 2006 Winter Simulation Conference, WSC
Y2 - 3 December 2006 through 6 December 2006
ER -