The revised Tennessee Eastman process simulator as testbed for SPC and DoE methods

Francesca Capaci*, Erik Vanhatalo, Murat Kulahci, Bjarne Bergquist

*Corresponding author for this work

Research output: Contribution to journalReviewResearchpeer-review

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Abstract

Engineering process control and high-dimensional, time-dependent data present great methodological challenges when applying statistical process control (SPC) and design of experiments (DoE) in continuous industrial processes. Process simulators with an ability to mimic these challenges are instrumental in research and education. This article focuses on the revised Tennessee Eastman process simulator providing guidelines for its use as a testbed for SPC and DoE methods. We provide flowcharts that can support new users to get started in the Simulink/Matlab framework, and illustrate how to run stochastic simulations for SPC and DoE applications using the Tennessee Eastman process.

Original languageEnglish
JournalQuality Engineering
Volume31
Issue number2
Pages (from-to)212-229
Number of pages18
ISSN0898-2112
DOIs
Publication statusPublished - 2019

Keywords

  • Closed-loop
  • Design of experiments
  • Engineering process control
  • Simulation
  • Statistical process control
  • Tutorial

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