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The present paper valuates the statistical and economic performance of Adaptive Shewhart quality control chart strategies which allow at least one of the design parameters (sample size n, sampling interval h and control limit coefficient k) to change in real time based on the actual values of the sample statistics. The automation of production processes more and more often requires a real-time analysis of control charts to make prompt corrections to the process under study. So, by evaluation of the different control chart adjustments one can assure better consistent upgrading of reliability through improved quality control, which provides an economic mean for attaining the required product-goals.