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This paper introduces a completely dynamic X̅ process control procedure that uses alternatively two different sets of parameters. The first set considers the longest sampling interval length, the smallest sample size, and the widest control limit coefficient, while the second set includes the shortest sampling interval length, the largest sample size, and the narrowest control coefficient. The motivation behind proposing this procedure is faster detection of sources of out-of-control by making all three parameters (sampling interval length, sample size and the control limit coefficient) adaptive. Additionally, in some industrial setups, it is logical and practical not to maintain fixed design parameters owing to the natural inherent randomness in the production processes from resources utilization and effectiveness point of view.