Literature review on control charts for autocorrelated processes

Authors

DOI:

https://doi.org/10.5902/2179460X63150

Keywords:

Statistical process control, Autocorrelated data, Quality management

Abstract

This research aims to present a literature review (LR) on control charts for autocorrelated processes, intending to contribute to the scientific knowledge of the process management area. The article was constructed having a research question defined ex-ante, elaborated based on the literature, where a research protocol adapted from Tranfield, Denyer, and Smart (2003) was systematized according to the methodological rigor demanded in the literature review, which resulted in the composition of the research corpus. The research corpus was evaluated in detail using the bibliometric packages HistCite, VOSviewer, package R and Iramuteq. It was evaluated the validity of the 3 bibliometric laws were verified: Lotka's Law, Bradford's Law, and Zipf's Law based on the authors’ citation and co-citation techniques. This study is considered as relevant and original since it is the first literature review on control charts for autocorrelated processes. The results confirmed the 3 classical bibliometric laws for the researched corpus. As a practical implication, this review provides support for quality management scholars to unlock potential research gaps. The main limitation of the work refers to the composition of the textual corpus, given that databases of national journals were not consulted due to the difficulty in terms of compatibility of the software used in this research.

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Author Biographies

Valentina Wolff Lirio, Federal University of Santa Maria, Santa Maria, RS, Brazil

Holds a degree in Statistics from the Federal University of Santa Maria.

Tailon Martins, Federal University of Santa Maria, Santa Maria, RS, Brazil

Master's student of the Graduate Program in Production Engineering at the Federal University of Santa Maria.

Bianca Reichert, Federal University of Santa Maria, Santa Maria, RS, Brazil

Doctoral student at the Graduate Program in Production Engineering at the Federal University of Santa Maria

Gilvete Silvania Wolff Lirio, Integrated Regional University of Alto Uruguai and the Missões, Santo Ângelo and Federal University of Fronteira Sul, Cerro Largo, RS, Brazil

Professor at the Integrated Regional University of Alto Uruguai and the Missões and the Federal University of Fronteira Sul.

Adriano Mendonça Souza, Federal University of Santa Maria, Santa Maria, RS, Brazil

Professor at the Department of Statistics at the Federal University of Santa Maria.

Wesley Vieira da Silva, Federal University of Alagoas, Maceió, AL, Brazil

Professor of the Administration course at the Faculty of Administration, Economics and Accounting at the Federal University of Alagoas.

References

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Published

2022-03-04 — Updated on 2022-09-22

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How to Cite

Lirio, V. W., Martins, T., Reichert, B., Lirio, G. S. W., Souza, A. M., & Silva, W. V. da. (2022). Literature review on control charts for autocorrelated processes. Ciência E Natura, 44, e2. https://doi.org/10.5902/2179460X63150 (Original work published March 4, 2022)

Issue

Vol. 44 (2022): Continuous Publication

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Statistics

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