• An adaptive step-down procedure for fault variable identification 

      Kim, Jinho; Jeong, Myong K.; Elsayed, Elsayed A.; Al-Khalifa, K.N.; Hamouda, A.M.S. ( Taylor & Francis , 2015 , Article)
      In a process with a large number of process variables (high-dimensional process), identifying which variables cause an out-of-control signal is a challenging issue for quality engineers. In this paper, we propose an adaptive ...
    • Double EWMA-Based Polynomial Quality Profiles Monitoring 

      Abdella, Galal M.; Kim, Jinho; Al-Khalifa, Khalifa N.; Hamouda, Abdel Magid ( Wiley , 2016 , Conference Paper)
      Profile monitoring is useful whenever the quality is described by a relationship between a response and one or more of explanatory variables. It is conventional to refer to this relationship as Quality Profile. Despite the ...
    • Monitoring multistage processes with autocorrelated observations 

      Kim, Jinho; Jeong, Myong K.; Elsayed, Elsayed A. ( Taylor and Francis Ltd. , 2017 , Article)
      In multistage manufacturing processes, autocorrelations within stages over time are prevalent and the classical control charts are often ineffective in monitoring such processes. In this paper, we derive a linear state ...