Multiple Sclerosis (MS) is a chronic disease of the nervous system that affects various parts of the body through its neuro signal impulses. This study focused on the development of quality control thresholds for the optimal health management of the MS disease. With the help of mean and variance from stochastic models of MS, the thresholds for quality assurance at the upper and lower limits of MS causing cells and oligodendrocytes are developed. Sampling distributions of simulated data were used to get the control limits. These control limits will act as guiding alerts used in designing quality specifications and healthcare decision support systems. The analysis is carried out with threshold limits at a required level of significance by considering natural tolerances.
