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Long-term statistical stability of industrial plants: Performance indicators and monitoring of an industrial pet plant

Authors

  • Viviane Filgueiras,

    1. Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP: 68502, 21941-972 Rio de Janeiro, RJ, Brazil
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  • Enrique Luis Lima,

    1. Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP: 68502, 21941-972 Rio de Janeiro, RJ, Brazil
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  • José Carlos Pinto

    Corresponding author
    • Programa de Engenharia Química/COPPE, Universidade Federal do Rio de Janeiro, Cidade Universitária, CP: 68502, 21941-972 Rio de Janeiro, RJ, Brazil
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E-mail: pinto@peq.coppe.ufrj.br

Abstract

In the present work, usual statistical process control (SPC) definitions are reformulated to allow for long-term analyses, giving rise to extended statistical process control (ESPC) procedures. In order to allow for implementation of the ESPC approach, t- and F-control charts and monitoring indexes (NEPM, EPY and OEP) are designed in this work and are used to monitor the performance of a real industrial poly(ethylene terephthalate) (PET) site based on six process outputs (intrinsic viscosity, crystallinity, acetaldehyde concentration and colours a, b and L). As shown in this manuscript, ESPC tools allow for proper and systematic analysis of huge amounts of industrial data, using simple, fast and efficient statistical techniques, which can be used to improve the quality of the process operation in most industrial polymerisation plants.

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