New Control Chart Based On Neutrosophic Maxwell Distribution with Decision Making Applications

The neutrosophic approach is a potential area to provide a novel framework for dealing with uncertain data. This study aims to introduce the neutrosophic Maxwell distribution (MD̃ ) for dealing with imprecise data. The proposed notions are presented in such a manner that the proposed model may be used in a variety of circumstances involving indeterminate, ambiguous, and fuzzy data. The suggested distribution is particularly useful in statistical process control (SPC) for processing uncertain values in data collection. The existing formation of VSQ-chart is incapable of addressing uncertainty on the quality variables being investigated. The notion of neutrosophic VSQchart (ṼSQ) is developed based on suggested neutrosophic distribution. The parameters of the suggested ṼSQ-chart and other performance indicators, such as neutrosophic power curve (PC̃), neutrosophic characteristic curve (CC̃) and neutrosophic run length (RL̃) are established. The performance of the ṼSQ-chart under uncertain environment is also compared to the performance of the conventional model. The comparative findings depict that the proposed ṼSQ-chart outperforms in consideration of neutrosophic indicators. Finally, the implementation procedure for real data on the COVID-19 incubation period is explored to support the theoretical part of the proposed mod