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Eugenio Epprecht

PUC-Rio



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Francisco Aparisi

Universidad Politecnica de Valencia



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Sandra Garc�a-Bustos

Escuela Superior Politécnica del Litoral



594 – Recent Advances in Statistical Process Control and Monitoring Research

Monitoring a Poisson Vector with a Linear Combination of Its Elements

Sponsor: Quality and Productivity Section
Keywords: Multivariate SPC, Poisson, Genetic algorithms, EWMA

Eugenio Epprecht

PUC-Rio

Francisco Aparisi

Universidad Politecnica de Valencia

Sandra Garc�a-Bustos

Escuela Superior Politécnica del Litoral

We propose and analyze a new chart for the multivariate process control of Poisson variables: the Linear Combination of Poissons (LCP) chart. The implementation parameters (coefficients of the linear combination and control limits) of this chart can be obtained running (in Windows) user-friendly software developed by the authors. The program employs genetic algorithms to minimize the out-of-control ARL for a given shift, under the constraint of a desired in-control ARL. The new chart shows very good performance when compared with its competitors. An EWMA version of it has also been developed.

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