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Abstract

The objective of this article is to carry out a systematic review of the literature on multivariate statistical process control (MSPC) charts used in industrial processes. The systematic review was based on articles published via Web of Science and Scopus in the last 10 years, from 2010 to 2020, with 51 articles on the theme identified. This article sought to identify in which industry the MSPC charts are most applied, the types of multivariate control charts used and probability distributions adopted, as well as pointing out the gaps and future directions of research. The most commonly represented industry was electronics, featuring in approximately 25% of the articles. The MSPC chart most frequently applied in the industrial sector was the traditional T2 of Harold Hotelling (Hotelling, 1947), found in 26.56% of the articles. Almost half of the combinations between the probabilistic distribution and the multivariate control graphs, i.e., 49.4%, considered that the data followed a normal distribution. Gaps and future directions for research on the topic are presented at the end.
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Authors and Affiliations

Renan Mitsuo Ueda
1
Ìcaro Romolo Sousa Agostino
2
Adriano Mendonça Souza
1

  1. Federal University of Santa Maria, Brazil
  2. Federal University of Santa Catarina, Brazil
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Abstract

This paper presents a new interim check device for coordinate measuring machines (CMMs) built from an AISI 1020 carbon steel bar with the incorporation of calibrated spheres. This artifact’s construction was made to make the interim checks of machines of this type faster and cheaper. Three devices were designed based on the ISO 10360-2 standard, the good practice guide No. 42 (NPL), and prominent authors’ research on the subject. The three options are presented in detail, but only one was built due to budget, size, and adaptability restrictions. An exploratory study was conducted to verify the device’s usability in two CMMs and concluded that the differences between the measurements are not significant. However, one machine had absolute variation values and a total standard deviation higher than the other, generating a larger expanded uncertainty.
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Authors and Affiliations

Rodrigo Schons Arenhart
1
Morgana Pizzolato
1
Fernanda Hänsch Beuren
2
Adriano Mendonça Souza
3
Leandro Cantorski da Rosa
1

  1. Federal University of Santa Maria, Department of Production Engineering and Systems, Roraima Avenue, 1000, Santa Maria, Brazil
  2. State University of Santa Catarina, Department of Industrial Technology, Fernando Hastreiter Street, São Bento do Sul, Brazil
  3. Federal University of Santa Maria, Statistics Department, Roraima Avenue, 1000, Santa Maria, Brazil

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