On Quick Switching System with Different Sampling Plans using Fuzzy Neutrosophic Weighted Poisson Distribution

The present study provides a new sampling inspection approach to costly and destructive testing that involves the concept of neutrosophic and fuzzy logic in a quick switching system with a normal SSP and a tightened DSP as a reference plan using weighted poisson distribution as a baseline. It includes the neutrosophic and fuzzy weighted poisson distribution associations of this approach, along with normal and tightened acceptance numbers using OC functions, and OC curves using R programming. It strongly focuses on a new sampling approach that uses fuzzy logic for effectively dealing with inconsistent and uncertain terms. And Also, these sets can be used to enhance the adaptability and flexibility of quick switching sampling. Neutrosophic consists of three terms: truthiness (t), indeterminacy (i), and falsity (f), which refer to different scenarios. The efficacy of the updated system has been evaluated through comparison of its results to the existing one. Costly and destructive testing using neutrosophic and fuzzy logic in a QSS with a normal SSP and a tightened DSP as a reference plan. The purpose of this research is to address the limitations associated with standard sampling techniques for continuous manufacturing process measurement. This focuses on the challenges with identifying uncertainties-related defects and highlights the fields involving fuzzy logic and neutrosophic theory have not been completely integrated into appropriate sampling techniques. This new approach improves the accuracy of quality control decision-making and significantly decreases the sample sizes involved. This provides an effective approach to improve quality monitoring across manufacturing scenarios.