Development and application of a model for qualification of industrial process performance through the use of
statistical process control tools
Process performance qualification, statistical process control tools, ANSI / ASQ Z1.4 sampling for attributes and design of experiment.
The general objective of this work was to develop and apply a model for process performance qualification of industrial processes with statistical tools. As part of this objective, design of experiment, as well as analyzes of process stability and capacity and the evaluation of these results by two types of sampling plans, single and double from ANSI / ASQ Z1. 4 for attributes. This paper tries to answer the following question: How to make the performance qualification of industrial processes with statistical base? Thus, we studied the process and product specification variables of an industrial process, the rolling process of a packaging industry through the use of statistical tools for control and performance in a case study. The main tools used are: design of the experiment, ACF (autocorrelation function) and ACFP (partial autocorrelation function) plots, individual control plots with Western Electric rules application and adjustment of an ARIMA model for autocorrelated data. From the results obtained in the case study, the model for the process performance qualification of industrial processes with statistical tools was developed, which has three main steps: definition of the data to be used in the qualification, order of execution of the analyzes and order of execution of the evaluation of the results.