Mingyuan Wang, statistical engineer, corning incorporated
Quality is a top concern for most manufacturers. Within the space of an established sampling mechanism, it is vital to be able to tell how likely a set of good samples (hero) actually represents that the entire batch/crate is good. In this presentation, we provide a distribution analysis strategy to assist in answering this question through such methods as modeling, simulation, probability analysis, and data visualization. We also demonstrate how to accomplish this analysis and develop an end-to-end application using the JMP script and user interface. The strategy is evaluated on a real-world induced data set of product samples. It provides a valuable strategy and tool for evaluating the current quality of products and decision making so that the process can be improved.