Predictive maintenance via integrated automatic and statistical process control

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1 Scopus citations


This paper proposes a methodology for predictive maintenance of a production system by integrating automatic process control (APC) and statistical process control (SPC). In particular, the integrated methodology is based on three main components: A) a Markov chain model that describes the production systems undergoing maintenance activities; b) stochastic optimal control methods that formulate the dynamics of the system, and a state-costate analysis based on the maximum principle that characterizes the properties of the optimal feedback rule; c) a Markov-based SPC (MSPC) method that monitors the resultant state-dependent process.

Original languageEnglish
StatePublished - 2010
EventIIE Annual Conference and Expo 2010 - Cancun, Mexico
Duration: 5 Jun 20109 Jun 2010


ConferenceIIE Annual Conference and Expo 2010


  • APC
  • Markov chain
  • Predictive maintenance
  • SPC
  • State-costate analysis
  • Stochastic optimal control


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