A Survey of Recent Developments in the Design of Adaptive Control Charts

Tagaras, George

doi:10.1080/00224065.1998.11979850

Cited by 209 publications

(123 citation statements)

References 47 publications

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“…As propriedades dos gráficos de controle com parâmetros variáveis têm sido objeto de estudo de vários pesquisadores (ver Tagaras, 1998; e, em português, Costa, 1998a). Tais gráficos são chamados de gráficos de parâmetros variáveis (e, também, de gráficos adaptativos) pois um ou mais parâmetros de projeto (tamanho de amostra, intervalo de tempo entre amostras e largura dos limites de controle) variam entre dois ou mais valores, de acordo com as informações que se tem do processo.…”

Section: Introductionunclassified

Gráficos adaptativos de controle por atributos e seu projeto na prática

2005

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ResumoOs gráficos de controle de processo com parâmetros variáveis, ou gráficos adaptativos, permitem intensificar ou relaxar o controle do processo de acordo com a informação da amostra mais recente. Sua vantagem é uma maior rapidez na detecção de causas especiais que tiram o processo de sua situação de controle. Este artigo apresenta um modelo geral para gráficos de c, np, u e p com um, dois ou todos os parâmetros de projeto (tamanho de amostra, intervalo de tempo entre amostras e largura dos limites de controle) variáveis, que proporciona ganhos de eficiência substanciais. É proposto um procedimento para escolha dos valores para os parâmetros dos gráficos na prática, apoiado em um programa em Excel (disponível a pedido) que permite selecionar, de forma rápida e simples, dentre valores práticos, aqueles que otimizam a eficiência do gráfico de controle na detecção de alterações do processo.Palavras-chave: gráficos de controle com parâmetros variáveis; atributos; controle estatístico de processo. AbstractProcess control charts with variable parameters, also known as adaptive charts, allow one to intensify or to relax the control of the process according to the information about the process obtained from the most recent sample. In this paper, we study an adaptive scheme for the c, np, u, and p charts that allows one to vary one, two, or all design parameters (sample size, sampling interval and control limit width). The adaptive scheme increases significantly the speed with which the control chart detects process disturbances. We propose, in addition, a simple and fast procedure using an Excel spreadsheet for selection of the best values for the design parameters, from a set of practicable values.

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Section: Introductionunclassified

Gráficos adaptativos de controle por atributos e seu projeto na prática

2005

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“…Extensions of the economic design have also been done through adaptive control [12]. We recommend the overview of Tagaras [13] for more details about adaptive control.…”

Section: Literature Reviewmentioning

confidence: 99%

A broader view of the economic design of the X-bar chart in the semiconductor industry

Baud-Lavigne

Bassetto

Penz

2009

International Journal of Production Research

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broader view of the economic design of the X-bar chart in semiconductor industry. International Journal of Production Research, Taylor & Francis, 2009, 48 (19) Abstract: This paper starts from a notice made in semiconductor industry: process control system and especially control charts provide information that can be exploited for correlation analyses during process investigations. In this industry, key and costly investigations are made for improving yield and reducing scraps. Daily, engineering teams are working at manufacturing improvements. Without process data, their work could take much more time and lead to weak improvements. Nevertheless, design of process control systems and in particular control charts lacks from taking into account this remark. As their is no sound application to infer optimal control chart depending on « business parameters » like yield, scraps, customer audits... Meetings between several engineering teams (process control, quality, process integration, industrial engineering and production) occurs frequently to find an affordable quantity of controls for each operations. The literature point of view doesn't provide more recommandations to take into account the reuse of data into these costly investigations. The paper investigates then this issue. For this first investigation, works have been focused on the design economics of control charts for a simplified process model. The paper translates into the Lorenzen and Vance model this concept. It simulates the design economic of control chart taking into account this new model and infers new optimal SPC set points. An analysis of this new link is made in a context of yield improvement, providing reference for knowing optimal quantity and frequency of controls.

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“…Several review works on adaptive control charts is seen in the literature. Tagaras (1998) reviewed the development of adaptive charts until 1998. However, the author surveyed mainly univariate charts.…”

Section: Adaptive Control Charts For Process Monitoringmentioning

confidence: 99%

Adaptive Charting Techniques: Literature Review and Extensions

Tsung

Wang

2010

Frontiers in Statistical Quality Control 9

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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.

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A Survey of Recent Developments in the Design of Adaptive Control Charts

Cited by 209 publications

References 47 publications

Gráficos adaptativos de controle por atributos e seu projeto na prática

Gráficos adaptativos de controle por atributos e seu projeto na prática

A broader view of the economic design of the X-bar chart in the semiconductor industry

Adaptive Charting Techniques: Literature Review and Extensions

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