Clustering of similar processes for the application of statistical process control in small batch and job production

Abstract

A structured procedure is presented to identify similar processes producing similar features on different products in small batch and job production processes. Similar processes are clustered together to achieve the minimum necessary amount of samples to monitor and control the respective production process using statistical process control (SPC). It is described how the procedure was successfully applied to a process in the manufacturing of boring/milling machines.

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 — 9 citations exist upstream.

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