Process visualization in medical device manufacture: An adaptation of short run SPC techniques

Sean S. Moore; Eamonn Murphy

doi:10.1080/08982112.2013.769052

Process visualization in medical device manufacture: An adaptation of short run SPC techniques

Sean S. Moore, Eamonn Murphy

School of Engineering

University of Limerick

Research output: Contribution to journal › Article › peer-review

Abstract

Visualizing and understanding the underlying processes in short production run environments is not possible with standard Shewhart control charts. Administration of multiple charts, frequent setups and changeovers, and the truncated nature of data collection limit the effectiveness of standard statistical process control (SPC) approaches. This article introduces a process visualization approach by adapting short-run SPC and recommends new rules for interpretation.

Original language	English
Pages (from-to)	247-265
Number of pages	19
Journal	Quality Engineering
Volume	25
Issue number	3
DOIs	https://doi.org/10.1080/08982112.2013.769052
Publication status	Published - 1 Jul 2013

Keywords

average run length (ARL)
process monitoring
runs rules
short-run statistical process control
statistical process control

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10.1080/08982112.2013.769052

Cite this

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Process visualization in medical device manufacture: An adaptation of short run SPC techniques

Abstract

Keywords

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