Control charts for monitoring process with time trend

using monitoring random source, profile monitoring and modified location chart

Authors

DOI:

https://doi.org/10.14488/BJOPM.2417.2025

Keywords:

Statistical Process Monitoring, Location Control Charts, Profile Monitoring, Quality 4.0

Abstract

Purpose: Statistical process monitoring has been a relevant practice incorporated into quality management systems. In a controlled process, the variabilities of statistical parameter estimates are expected to fluctuate within a pattern over time. Whenever this pattern is not identified, the root causes must be identified, and the necessary actions should be taken. However, there are situations where special causes are present but not practically significant. Recent studies on profile monitoring have tailored solutions for efficiently detecting trends and seasonality in high-capability processes. This paper proposes using profile curves and statistical modelling based on the location control chart approach.

Design/methodology/approach: Our research was carried out using decision-prescriptive models and the Design Science Research approach to identify solutions for real and complex problems. Additionally, the modeling and simulation method was utilized to assist in developing, analyzing, and testing the model, which was classified as an artifact.

Findings: The modeling results clearly demonstrate that utilizing location control charts and modified graphs is essential in defining equipment adjustments. This approach guarantees the minimum acceptable capacity and maximizes the use of productive resources.

Originality: This study provides novel opportunities for developing and implementing control charts in systems that do not conform to the principles of randomness but rather display intricate temporal patterns. This is particularly relevant in the context of Quality 4.0, where real-time data collection is pervasive.

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Author Biographies

Pedro Carlos Oprime, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Pedro Carlos Oprime é Mestre em Engenharia de Produção pela Universidade Federal de São Carlos e Doutor em Direito, Economia e Ciências pela Université d'Aix-Marseille III. Fez estágio de Pós-Doutorado na Culverhouse College of Commerce, University of Alabama, EUA, e na University of Nantes, França. Atualmente, é professor associado da Universidade Federal de São Carlos. Escreve sobre garantia de controle de qualidade, melhoria contínua, inteligência competitiva, clusters, sistemas produtivos locais e pequenas e médias empresas.

Damaris Chieregato Vicentin, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Damaris Chieregato Vicentin é atualmente Pesquisadora de Pós-Doutorado na Faculdade de Ciências Aplicadas da Universidade Estadual de Campinas (Unicamp). Possui doutorado em Engenharia de Produção pela Universidade Federal de São Carlos com doutorado em período parcial na Universidade de Waikato, mestrado em Engenharia de Produção pela Universidade Estadual Paulista, MBA em Gestão Financeira, Contabilidade e Auditoria pela Fundação Getúlio Vargas e bacharelado em Administração de Empresas pela Toledo Institution of Education. Possui experiência em Gestão da Qualidade, atuando principalmente nos seguintes temas: Ferramentas Estatísticas, Monitoramento Estatístico de Processos, Indústria 4.0, Lean Six Sigma e Melhoria Contínua.

Juliano Endrigo Sordan, Federal University of São Carlos (UFSCar), São Carlos, SP, Brazil.

Juliano Endrigo Sordan é graduado em Administração de Empresas pelo Centro Universitário de Araraquara (UNIARA) e Mestre em Engenharia de Produção pela Escola de Engenharia de São Carlos (EESC USP). Atualmente é doutorando em Engenharia de Produção pela Universidade Federal de São Carlos (UFSCar). Master Black Belt Lean Six Sigma. Professor de Gestão Empresarial (FATEC Sertãozinho) e de pós-graduação (FGV). Consultor líder em sistemas de gestão da qualidade ISO 9001 e pesquisador do Instituto Fábrica do Milênio. Diretor de Desenvolvimento de Negócios AD HOC. Com mais de treze anos de experiência, gerenciou projetos de melhoria da qualidade e produtividade em mais de 30 empresas. Possui experiência em Excelência Operacional, atuando principalmente nos seguintes temas: Excelência Operacional, Indústria 4.0, Teoria das Restrições - TOC e Lean Six Sigma.

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Published

2025-09-20

How to Cite

Oprime, P. C., Vicentin, D. C., & Sordan, J. E. (2025). Control charts for monitoring process with time trend: using monitoring random source, profile monitoring and modified location chart. Brazilian Journal of Operations & Production Management, 22(3), 2417 . https://doi.org/10.14488/BJOPM.2417.2025

Issue

Vol. 22 No. 3 (2025)

Section

Research paper

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Copyright (c) 2025 Pedro Carlos Oprime, Damaris Chieregato Vicentin, Juliano Endrigo Sordan

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