Operations research: principles and practice, 2nd ed.
Operations research: principles and practice, 2nd ed.
Simulation methodology—an introduction for queueing theorists
Queueing Systems: Theory and Applications
Detecting truncation point in steady-state simulation using chaos theory
WSC '94 Proceedings of the 26th conference on Winter simulation
Control of initialization bias in queueing simulations using queueing approximations
WSC '95 Proceedings of the 27th conference on Winter simulation
Simulation Modeling and Analysis
Simulation Modeling and Analysis
Exploring exponentially weighted moving average control charts to determine the warm-up period
WSC '05 Proceedings of the 37th conference on Winter simulation
On an initial transient deletion rule with rigorous theoretical support
Proceedings of the 38th conference on Winter simulation
Automating warm-up length estimation
Proceedings of the 40th Conference on Winter Simulation
Proceedings of the Winter Simulation Conference
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When simulating a non-terminating system, the issue of initialization bias must be addressed. Many approaches have been developed to remove initialization bias from the output data. This paper provides a comparison of 5 selected methods applied to two slightly different 2-machine flow shop models. The experiment tests for statistical differences between mean and variance of the data used by each method to calculate steady state performance measures. Additionally, for each method, the practicality and ease-of-use for general applicability in larger modeled environments is discussed.