Adaptive Charting Techniques: Literature Review and Extensions

Fujee Tsung and Kaibo Wang
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Fujee Tsung: Hong Kong University of Science and Technology, Department of Industrial Engineering and Logistics Management
Kaibo Wang: Tsinghua University, Department of Industrial Engineering

A chapter in Frontiers in Statistical Quality Control 9, 2010, pp 19-35 from Springer

Abstract: Summary The continuous development of SPC is driven by challenges arising from practical applications across diverse industries. Among others, adaptive charts are becoming more and more popular due to their capability in tackling these challenges by learning unknown shifts and tracking time-varying patterns. This chapter reviews recent development of adaptive charts and classifies them into two categories: those with variable sampling parameters and those with variable design parameters. This review focuses on the latter group and compares their charting performance. As an extension to conventional multivariate charts, this work proposes a double-sided directionally variant chart. The proposed chart is capable of detecting shifts having the same or opposite directions as the reference vector and is more robust to processes with unpredictable shift directions.

Keywords: Independent Component Analysis; Control Chart; Exponentially Weighted Move Average; Statistical Process Control; Quality Technology (search for similar items in EconPapers)
Date: 2010
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-7908-2380-6_2

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DOI: 10.1007/978-3-7908-2380-6_2

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