We study the problem of determining that one of k stationary simulated processes which has the largest mean. We adapt for use in the simulation environment a ranking and selection procedure due to Dudewicz and Dalal (1975). In order to implement this procedure, it is necessary to estimate the process variance of each of the k simulated systems; variance estimators arising from the theory of standardized time series are used for this purpose.