The approaches will determine the optimal stress levels and sample size at each level sugject to a predetermined test time and a significance level of reliability estimate. We will utilize the models for reliability estimates obtained under earlier funding by the Center. The objective of this research project is to develop a statistically valid procedure and an associated software module for assessing process capability. We will explore both normal and non-normal distributions. The original research component of this project is in determining appropriate confidence intervals for capability indices in the nonnormal case and in selecting appropriate statistical tests for the process parameters for nonnormal data.
Many companies employ acceptance-sampling techniques as a part of the total quality program.
The standard acceptance sampling plans address either attributes or variables, but not both. There is a need for a sampling scheme that can incorporate components of both attribute data and variables data that will not require 100 percent inspection. Those companies currently using attribute criteria can use variable criteria to gain more valuable information with the software to be developed.