A Review and Analysis of Cause-Selecting Control Charts

Abstract

Cause-selecting control charts use incoming quality measurements and out-going quality measurements in an attempt to distinguish between in-coming quality problems and problems in the current operation of a manufacturing process. We examine the assumptions underlying this useful type of chart and its relationship with the multivariate T2 chart. We propose using prediction limits with cause-selecting charts to improve their statistical performance.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 247 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.