Robust quality controlling: SPC with box plots and runs test

George J. Besseris

6 citations0/0 files storedThe TQM Journal

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Advanced Statistical Process Monitoring Fault Detection and Control Systems Management Systems and Quality Improvement

Abstract

Purpose – The purpose of this paper is to propose a methodology that may assist quality professionals in assessing process variation with a combination of tools based on simple robust statistics. The technique targets alternative way of screening and detection of common and special causes in individuals' control charts (ICC).

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References

1940Statistical Method from the Viewpoint of Quality Control.2004Quality Managemnet and Quality Assurance Standards—Part 3 2008Phase I Statistical Process Control Charts: An Overview and Some Results 2011On Nonparametric Statistical Process Control of Univariate Processes 2006Variation Mode and Effect Analysis: a Practical Tool for Quality Improvement 2006Process‐based knowledge management system for continuous improvement 2003A conceptual framework for the effective implementation of statistical process control 2009An application of TQM tools at a maintenance division of a large aerospace company

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2019A regression spline control chart for monitoring characteristics exhibiting nonlinear profile over time

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