Conference proceeding
Strategic Maintenance Decisions Using Statistical Quality Control and Optimization
IIE Annual Conference. Proceedings, p.1
01/01/2003
Abstract
We present a methodology for monitoring and maintenance decision making for deteriorating systems under conditions of uncertainty. The methodology integrates statistical quality control (SQC) and partially observable Markov decision processes (POMDPs) through simulation in order to develop realistic maintenance policies for real-world environments. Specifically, we use advanced SQC techniques to sample and represent real-world systems. These techniques are used to define the observation distributions and structure for a POMDP. We propose a general simulation methodology for integrating SQC and POMDPs in order to develop and evaluate optimal maintenance policies as a function of process characteristics, system operating and maintenance costs. [PUBLICATION ABSTRACT]
Details
- Title: Subtitle
- Strategic Maintenance Decisions Using Statistical Quality Control and Optimization
- Creators
- Julie Simmons IvyHarriet Black Nembhard
- Resource Type
- Conference proceeding
- Publication Details
- IIE Annual Conference. Proceedings, p.1
- Publisher
- Institute of Industrial and Systems Engineers (IISE)
- Language
- English
- Date published
- 01/01/2003
- Academic Unit
- Engineering Administration; Industrial and Systems Engineering
- Record Identifier
- 9984121864502771
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