Date of Award
Spring 2008
Document Type
Thesis
Degree Name
Master of Science (MS)
Department
Mechanical & Aerospace Engineering
Program/Concentration
Mechanical Engineering
Committee Director
Han P. Bao
Committee Member
Gene J.-W. Hou
Committee Member
Abdelmageed Elmustafa
Call Number for Print
Special Collections; LD4331.E56 C585 2008
Abstract
The objective of this thesis is to carry out a maintenance cost analysis for a part that is subject to both random failure and deterioration failure. The analysis follows the guidelines of preventive maintenance and leads to a means of finding out the total cost of the maintenance procedure based on different maintenance cost data. The maintenance model developed in this thesis is based on a Markov Process, and its optimization is derived from a maximization of the availability of the part.
A case study was used to demonstrate the method for obtaining the optimal minimal preventive maintenance rate, steady states probabilities and relative number of visits to each state. Based on the calculation of the final total costs of maintenance, the optimal maintenance policy can be determined. The calculation results indicate that the relationship between the number of minimal preventive maintenance rounds and the total cost of maintenance can be used to derive the optimal maintenance policy for given maintenance cost data.
Rights
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DOI
10.25777/at76-zw13
Recommended Citation
Chung, Wen-Chun.
"Optimum Preventive Maintenance by Markov Processes"
(2008). Master of Science (MS), Thesis, Mechanical & Aerospace Engineering, Old Dominion University, DOI: 10.25777/at76-zw13
https://digitalcommons.odu.edu/mae_etds/443