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An integrated holistic model of a complex process

  • Heeyoung Kim
  • Sungil Kim
  • Jianxin Deng
  • Jye-Chyi Lu
  • Kan Wang
  • Chuck Zhang
  • Martha A. Grover
  • Ben Wang
ORIGINAL ARTICLE
  • 163 Downloads

Abstract

Conducting experiments to understand and model a complex process or system is usually costly and time-consuming due to multistages, multivariables, and multidisciplinary issues involved in the complex process. To reduce the complexity, for a single experiment, experimenters often fix some variables and investigate the effects of a smaller subset of variables. If then, it is possible to build individual models for each subset of variables, but this only allows partial understanding of the whole process. In this paper, we propose a method for building a holistic model of a complex process using multiple partial models that are learned from multiple sub-experiments that focus on different variables or the same variables but with different variable ranges. Using the proposed holistic model, it should be possible to provide an initial understanding of the complex process involving all variables. The effectiveness of the proposed method is demonstrated using a real example from a buckypaper process.

Keywords

Combining data Initial modeling Model integration Multiple sub-experiments 

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Copyright information

© Springer-Verlag London 2016

Authors and Affiliations

  • Heeyoung Kim
    • 1
  • Sungil Kim
    • 2
  • Jianxin Deng
    • 3
  • Jye-Chyi Lu
    • 4
  • Kan Wang
    • 4
  • Chuck Zhang
    • 4
  • Martha A. Grover
    • 5
  • Ben Wang
    • 4
  1. 1.Department of Industrial and Systems EngineeringKorea Advanced Institute of Science and Technology (KAIST)DaejeonRepublic of Korea
  2. 2.School of Management EngineeringUlsan National Institute of Science and Technology (UNIST)UlsanRepublic of Korea
  3. 3.School of Mechanical EngineeringGuangxi UniversityNanningChina
  4. 4.H. Milton Stewart School of Industrial and Systems EngineeringGeorgia Institute of TechnologyAtlantaUSA
  5. 5.School of Chemical and Biomolecular EngineeringGeorgia Institute of TechnologyAtlantaUSA

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