The success and effectiveness of modern lean manufacturing concepts requires robust and highly reliable machinery. In this thesis, we develop several simulation studies to compare the performance of a several manufacturing systems under different maintenance polices. The main focus of this work is to compare traditional time-based maintenance policies with degradation-based predictive maintenance policies that utilize real-time sensory information to assist in decisions regarding maintenance management and component replacement. The simulation studies developed in this thesis demonstrate the benefits of using sensor-based degradation models to predict failure.
Identifer | oai:union.ndltd.org:uiowa.edu/oai:ir.uiowa.edu:etd-1337 |
Date | 01 January 2007 |
Creators | Kaiser, Kevin Michael |
Contributors | Gebraeel, Nagi Z. |
Publisher | University of Iowa |
Source Sets | University of Iowa |
Language | English |
Detected Language | English |
Type | thesis |
Format | application/pdf |
Source | Theses and Dissertations |
Rights | Copyright 2007 Kevin Michael Kaiser |
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