The stiffness of paperboard is an important continuous variable measured in the labs of paperboard industry to evaluate the quality of the final product. The variable is approximately normal distributed, in this case study, and individual control charts to monitor the stiffness are obtained based on average moving range. Since the available sample size is small we decide to estimate robust control limits using a non-parametric method based on empirical quantiles (that performs also well under the normality of the observations), with the bootstrap procedure. The comparison of the control limits should be made based on the required accuracy. We also compare the output of the stable process (i.e., in statistical control) with the process specifications and we conclude that it is not a capable process.
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6 December 2016
INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2016 (ICCMSE 2016)
17–20 March 2016
Athens, Greece
Research Article|
December 06 2016
Individual control charts in paperboard industry
Luís M. Grilo;
Luís M. Grilo
aUnidade Departamental de Matemática e Física,
Instituto Politécnico de Tomar
, Estrada da Serra – Quinta do Contador, 2300-313 Tomar, and Centro de Matemática e Aplicações (CMA), FCT, UNL, Portugal
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Daniela S. Silva;
Daniela S. Silva
bUnidade Departamental de Engenharia,
Instituto Politécnico de Tomar
, Portugal
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Isabel M. Nogueira;
Isabel M. Nogueira
cUnidade Departamental de Engenharia,
Instituto Politécnico de Tomar
, Portugal
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Helena L. Grilo;
Helena L. Grilo
dCentro de Sondagens e Estudos Estatísticos,
Instituto Politécnico de Tomar
, Portugal
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Teresa A. Oliveira
Teresa A. Oliveira
eDepartamento de Ciências e Tecnologia,
Universidade Aberta
, and Centro de Estatística e Aplicações, Universidade de Lisboa
, Portugal
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AIP Conf. Proc. 1790, 140009 (2016)
Citation
Luís M. Grilo, Daniela S. Silva, Isabel M. Nogueira, Helena L. Grilo, Teresa A. Oliveira; Individual control charts in paperboard industry. AIP Conf. Proc. 6 December 2016; 1790 (1): 140009. https://doi.org/10.1063/1.4968738
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