2000•Journal of Quality TechnologyRequires access

A Synthetic Control Chart for Detecting Small Shifts in the Process Mean

Zhang Wu, Trevor A Spedding

Open publisher page 230 citations

Abstract

This paper presents a synthetic control chart that is an integration of the Shewhart X̄ chart and the conforming run length chart. Like the Shewhart X̄ chart, the synthetic chart is used to detect the process mean shift, δ. We found from intensive performance tests that the synthetic control chart consistently produces smaller out-of-control average run lengths (ARL's) than the Shewhart X̄ chart (with or without supplementary runs rules) for any size of δ when the false alarm rate is held at a specified value. Compared to the Shewhart X̄ chart, when δ is moderate (between 0.5σ and 1.5σ), the synthetic control chart can reduce the out-of-control ARL by nearly half. The synthetic control chart also outperforms the exponentially weighted moving average (EWMA) chart and the joint X̄-EWMA charts when δ is greater than 0.8σ.

About this research paper

What this paper is about

This paper presents a synthetic control chart that is an integration of the Shewhart X̄ chart and the conforming run length chart. Like the Shewhart X̄ chart, the synthetic chart is used to detect the process mean shift, δ. We found from intensive performance tests that the synthetic control chart consistently produces smaller out-of-control average run lengths (ARL's) than the Shewhart X̄ chart (with or without supplementary runs rules) for any size of δ when the false alarm rate is held at a specified value. Compared to the Shewhart X̄ chart, when δ is moderate (between 0.5σ and 1.5σ), the synthetic control chart can reduce the out-of-control ARL by nearly half. The synthetic control chart also outperforms the exponentially weighted moving average (EWMA) chart and the joint X̄-EWMA charts when δ is greater than 0.8σ.

Why it matters

OpenAlex reports 230 citations for this work. Citation counts describe recorded attention and do not establish research quality.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

This paper presents a synthetic control chart that is an integration of the Shewhart X̄ chart and the conforming run length chart. Like the Shewhart X̄ chart, the synthetic chart is used to detect the process mean shift, δ. We found from intensive performance tests that the synthetic control chart consistently produces smaller out-of-control average run lengths (ARL's) than the Shewhart X̄ chart (with or without supplementary runs rules) for any size of δ when the false alarm rate is held at a specified value. Compared to the Shewhart X̄ chart, when δ is moderate (between 0.5σ and 1.5σ), the synthetic control chart can reduce the out-of-control ARL by nearly half. The synthetic control chart also outperforms the exponentially weighted moving average (EWMA) chart and the joint X̄-EWMA charts when δ is greater than 0.8σ.

Key concepts: EWMA chart, X-bar chart, Control chart, Chart, Shewhart individuals control chart, Statistics, \bar x and R chart, Computer science

Related papers

Back to paper searchBrowse research topicsOriginal source
A Synthetic Control Chart for Detecting Small Shifts in the Process Mean — Research Paper | ScholarLens