The Mixed CUSUM-EWMA (MCE) control chart as a new alternative in the monitoring of a manufacturing process

• Autor(a) principal: Oliveira, Amilcar
• Data de Publicação: 2019
• Outros Autores: Oliveira, Teresa, Paladini, Edson Pacheco, Walter, Olga Maria Formigoni Carvalho, Henning, Elisa, Konrath, Andréa Cristina, Alves, Custodio da Cunha
• Tipo de documento: Artigo
• Idioma: eng
• Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
• Texto Completo: http://hdl.handle.net/10400.2/9135
• topic: Process monitoring; Control chart; Mixed CUSUM-EWMA Chart

Goal: The objective is to conclude, based on a comparative study, if there is a significant difference in sensitivity between the application of MCE and the individual application of the CUSUM or EWMA chart, i.e., greater sensitivity particularly for cases of lesser magni-tude of change. Design/Methodology/Approach: These are an applied research and statistical tech-niques such as statistical control charts are used for monitoring variability. Results: The results show that the MCE chart signals a process out of statistical control, while individual EWMA and CUSUM charts does not detect any situation out of statistical control for the data analyzed. Limitations: This article is dedicated to measurable variables and individual analysis of quality characteristics, without investing in attribute variables. The MCE chart was applied to items that are essential to the productive process development being analysed. Practical Implications: The practical implications of this study can contribute to: the cor-rect choice of more sensitive control charts to detect mainly small changes in the location (mean) of processes; provide clear and accurate information about the fundamental pro-cedures for the implementation of statistical quality control; and encourage the use of this quality improvement tool. Originality/Value: The MCE control chart is a great differential for the improvement of the quality process of the studied company because it goes beyond what CUSUM and EWMA control charts can identify in terms of variability.