Guided entry system for individuals for annotating process deviations

Abstract

Methods (), algorithms, and implementing systems () for guided annotation of process deviations by an individual responsible for annotations (e.g. process operator) for a manufacturing process having an associated computing system () including a historical database (stored in memory). The historical database is provided () including data associated with a plurality of process performance measures including stored deviations for the plurality of process measures, stored quantitative deviation attributes thereof and at least one cause associated with each of the stored deviations process performance measures. The method includes the individual responsible for annotation selecting at least one present deviation (D) to be annotated responsive to a deviation in a target process performance measure (T) selected from the plurality of process measures (). Automatically, the stored quantitative attributes associated with D, T, and a target value or target interval for T are retrieved (). The database is searched to identify a plurality of similar deviations from the stored deviations determined to be similar to D and the plurality of similar deviations are statistically processed to generate a listing indicating a relative likelihood of the at least one cause associated with the plurality of similar deviations (). The listing is presented to the individual to prompt selection of at least one present cause for D from the cause(s) associated with the plurality of similar deviations ().