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New monitoring strategies for multivariate processes

Grant number: 06/00491-0
Support type:Scholarships in Brazil - Doctorate
Effective date (Start): September 01, 2006
Effective date (End): April 30, 2009
Field of knowledge:Engineering - Production Engineering - Production Management
Principal researcher:Antonio Fernando Branco Costa
Grantee:Marcela Aparecida Guerreiro Machado de Freitas
Home Institution: Faculdade de Engenharia (FEG). Universidade Estadual Paulista (UNESP). Campus de Guaratinguetá. Guaratinguetá , SP, Brazil


When Shewhart proposed the control chart in 1927, his intention was to offer a very simple statistical tool for monitoring processes. After all these years, processes became more and more sophisticated and consequently, they are now requiring the use of more efficient statistical tools in the sense of detecting process disturbances faster. Moreover, the growing development in automation has led to an increased need of multivariate charts for the joint control of several quality characteristics. The computational resources available nowadays are allowing to redesign the control charts with better performance. So, a new generation of Shewhart charts with variable parameters, with more complex sampling schemes and special run rules are drawing the practitioner attention. The number of papers dealing with these new control charts is considerable in the case of univariate processes, but scant in the case of multivariate process, and in general, the simulation has been the technique used to study the properties of the multivariate control charts. In this project, we intend to extend the studies elaborated to obtain the control chart properties for the surveillance of univariate processes to the multivariate case. We expect to obtain the properties of the new generation of control charts for multivariate processes with better accuracy than the properties obtained with the simulation technique. (AU)

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Scientific publications
(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)
COSTA, A. F. B.; MACHADO, M. A. G.. A new chart based on sample variances for monitoring the covariance matrix of multivariate processes. INTERNATIONAL JOURNAL OF ADVANCED MANUFACTURING TECHNOLOGY, v. 41, n. 7-8, p. 770-779, . (06/00491-0)
COSTA, A. F. B.; MACHADO, M. A. G.. A control chart based on sample ranges for monitoring the covariance matrix of the multivariate processes. Journal of Applied Statistics, v. 38, n. 2, p. 233-245, . (06/00491-0)
MARCELA A. G. MACHADO; ANTONIO F. B. COSTA; FERNANDO A. E. CLARO. Monitoring bivariate process. Pesquisa Operacional, v. 29, n. 3, p. 547-562, . (06/00491-0)
Academic Publications
(References retrieved automatically from State of São Paulo Research Institutions)
FREITAS, Marcela Aparecida Guerreiro Machado de. Gráficos de controle para monitoramento de processos multivariados. 2009. Doctoral Thesis - Universidade Estadual Paulista (Unesp). Faculdade de Engenharia. Guaratinguetá Guaratinguetá.

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