Date of Degree

2007

Document Type

Master's thesis

Degree Name

MS (Master of Science)

Department

Industrial Engineering

First Advisor

Nagi Z. Gebraeel

Abstract

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.

Pages

vii, 171

Bibliography

104-110

Copyright

Copyright 2007 Kevin Michael Kaiser