Abstract
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 language | English |
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State | Published - 2010 |
Event | IIE Annual Conference and Expo 2010 - Cancun, Mexico Duration: 5 Jun 2010 → 9 Jun 2010 |
Conference
Conference | IIE Annual Conference and Expo 2010 |
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Country/Territory | Mexico |
City | Cancun |
Period | 5/06/10 → 9/06/10 |
Keywords
- APC
- Markov chain
- Predictive maintenance
- SPC
- State-costate analysis
- Stochastic optimal control