RANDOM TRACEABILITY LAYER-BASED AVERAGE CONTRASTIVE ANALYSIS METHOD AND X-R CONTROL CHART FUNCTION UNIT PROGRAM AND RANDOM TRACEABILITY LAYER-BASED AVERAGE CONTRASTIVE CAUSE ANALYSIS PROGRAM

摘要

A program which can monitor by highlighting an effect contrast, for each element in an accuracy region, that has conventionally been failed to be discriminated due to bias or mutual action even if a within-standard component is used, and can analyze causes for chronic characteristics deficiency problems during production on job site. The records of a traceability mixed production or an equivalent production in which the probable traceabilities of production processes, components and materials that are all the product quality elements ranging from materials to completed products are uniformly and randomly mixed are collected factitiously, the records are, as shown in flows in Fig. 1, are classified into layers based on the traceability discrimination of one element, one axis is added to a conventional X-R control chart, product problem characteristics average trend and average trend of element characteristics such as components sizes are monitored on the same graph, the correlation between those characteristics averages are confirmed, element characteristics items are auto-piloted, and the candidate cause of mostly correlated element characteristics is automatically judged and reported as well as in voice.