Analysis and Perspectives on Multivariate Statistical Process Control Charts used in the Industrial Sector: a Systematic Literature Review

IF 0.9 Q4 ENGINEERING, INDUSTRIAL

Management and Production Engineering Review Pub Date : 2023-07-20 DOI:10.24425/mper.2022.142054

Renan Mitsuo Ueda, Ícaro Romolo Sousa Agostino, A. Souza

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引用次数: 0

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 T 2 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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工业部门使用的多变量统计过程控制图的分析与展望：系统文献综述

本文的目的是对工业过程中使用的多元统计过程控制（MSPC）图的文献进行系统综述。该系统综述基于2010年至2020年过去10年中通过科学网和Scopus发表的文章，共有51篇关于该主题的文章。本文试图确定MSPC图表在哪个行业应用最多，使用的多元控制图表的类型和采用的概率分布，并指出差距和未来的研究方向。最常见的行业是电子行业，约25%的文章都是电子行业。工业部门最常用的MSPC图表是Harold Hoteling的传统T2（Hoteling，1947），在26.56%的文章中发现。概率分布和多变量控制图之间几乎一半的组合，即49.4%，认为数据遵循正态分布。最后介绍了该课题研究的差距和未来的发展方向。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Management and Production Engineering Review ENGINEERING, INDUSTRIAL-

CiteScore

2.80

自引率

21.40%

发文量

期刊介绍： Management and Production Engineering Review (MPER) is a peer-refereed, international, multidisciplinary journal covering a broad spectrum of topics in production engineering and management. Production engineering is a currently developing stream of science encompassing planning, design, implementation and management of production and logistic systems. Orientation towards human resources factor differentiates production engineering from other technical disciplines. The journal aims to advance the theoretical and applied knowledge of this rapidly evolving field, with a special focus on production management, organisation of production processes, management of production knowledge, computer integrated management of production flow, enterprise effectiveness, maintainability and sustainable manufacturing, productivity and organisation, forecasting, modelling and simulation, decision making systems, project management, innovation management and technology transfer, quality engineering and safety at work, supply chain optimization and logistics. Management and Production Engineering Review is published under the auspices of the Polish Academy of Sciences Committee on Production Engineering and Polish Association for Production Management.