Revolutionary Hybrid RDS, Big Data and AI Quality Control: Cpk-Based Analysis

Abstract

In this research, a combination of inspection and repeated deferred sampling is suggested utilizing the process capability index Cpk. This sampling approach can effectively evaluate the quality characteristics of normal distributions even when the mean and variance are unknown. Symmetrical and asymmetrical regions failing to meet optimal conditions for practical use are identified through specific tables Furthermore, the benefits of this proposed mixed sampling design are discussed. A comparison between the suggested policies and current practices is presented to illustrate the differences. A practical example is utilized to demonstrate the practicality of this hybrid sampling strategy. The optimal parameters can be determined using the two-point method of the operating characteristic curve.