Accession Number : AD0426244
Title : THE PRESENT STATUS OF STATISTICAL PROCESS CONTROL,
Corporate Author : STANFORD UNIV CALIF APPLIED MATHEMATICS AND STATISTICS LABS
Personal Author(s) : Lieberman,Gerald J.
Report Date : 06 DEC 1963
Pagination or Media Count : 17
Abstract : Statistical process control is discussed. The functions of control charts are stated with special mention of the Shewhart Control Chart and the Cumulative Sum Chart. A summary of continuous sampling points up the places where a model for the production process, other than the model of a state of statistical control is used. The term ''adaptive quality control'' is introduced and described as a feed-back procedure which indicates when and by how much to make a change in the production process. The relation between adaptive control and continuous sampling is shown. Broadly, the Shewhart control chart and the Dodge type continuous sampling plans are adaptive quality control procedures, with the latter having a property of optimization. The Girshick-Rubin model is considered as fundamental in developing adaptive quality control procedures; it is described in detail. Another case, written up by Savage, is discussed; it deals with the fact that a production process is either producing a continuous stream of goods or else is in a state of repair.
Descriptors : (*QUALITY CONTROL, STATISTICAL ANALYSIS), (*INDUSTRIAL PRODUCTION, QUALITY CONTROL), CONTROL, STOCHASTIC PROCESSES, SAMPLING
Distribution Statement : APPROVED FOR PUBLIC RELEASE