Chart with Estimated Parameters: The Conditional ARL Distribution and New Insights-Reference-Cited by-同舟云学术

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Chart with Estimated Parameters: The Conditional ARL Distribution and New Insights

Published:2019-02-14 Issue:6 Volume:28 Page:1545-1557
ISSN:1059-1478
Container-title:Production and Operations Management
language:en
Short-container-title:Prod Oper Manag

Author:

Jardim Felipe S.¹,Chakraborti Subhabrata²,Epprecht Eugenio K.¹

Affiliation:

1. PUC‐Rio R. Marquês de São Vicente 225 22451‐900Rio de Janeiro Brazil

2. University of Alabama Tuscaloosa Alabama35487USA

Funder

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Publisher

Wiley

Subject

Management of Technology and Innovation,Industrial and Manufacturing Engineering,Management Science and Operations Research

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1111/poms.12985

Reference33 articles.

1. Are estimated control charts in control?

2. Estimation in Shewhart control charts: effects and corrections

3. New Corrections for Old Control Charts

4. Exceedance probabilities for parametric control charts

5. A Reevaluation of the Adaptive Exponentially Weighted Moving Average Control Chart When Parameters are Estimated

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1. Nonparametric control limits incorporating exceedance probability criterion for statistical process monitoring with commonly employed small to moderate sample sizes;Quality Engineering;2024-06-11

2. Distribution-free control charts for monitoring scale in finite horizon productions;European Journal of Operational Research;2024-05

3. The design of two-sided S²-chart with estimated in-control process variance based on conditional median run length;Quality Technology & Quantitative Management;2023-09-16

4. A novel criterion based on continuous ranked probability score for performance evaluation of control charts;Quality and Reliability Engineering International;2023-03-09

5. Exact tolerance interval with specified tail probabilities and a control chart for the sample variance;Quality and Reliability Engineering International;2022-12

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