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Permanent link (DOI): https://doi.org/10.7939/R3KD1QS4K

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Modeling Maintenance Cost for Road Construction Equipment Open Access

Descriptions

Other title
Subject/Keyword
Regression Analysis
Data Mining
Maintenance Cost
Road Construction Equipment
Trend Analysis
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Bayzid, Sharif M
Supervisor and department
Mohamed, Yasser (Civil and Environmental Engineering)
Examining committee member and department
Al-Hussein, Mohamed (Civil and Environmental Engineering)
Mohamed, Yasser (Civil and Environmental Engineering)
Qiu, Zhi-Jun (Civil and Environmental Engineering)
Department
Department of Civil and Environmental Engineering
Specialization
Construction Engineering and Management
Date accepted
2014-01-28T10:17:22Z
Graduation date
2014-06
Degree
Master of Science
Degree level
Master's
Abstract
There are many road construction companies in Canada that possess numerous fleets of heavy equipment. A big portion of the operating cost of these fleets is consumed by maintenance operations. This thesis focused on the cost of maintenance operation for a road construction company. The objective of this research is to propose a systematic approach to predict the maintenance cost of road construction equipment. This research initially intended to collect and pre-process the maintenance work database. Then, trend analysis was conducted in order to obtain a better understanding of maintenance costs. Moreover, this research intended to find the probable correlations between maintenance cost and other attributes of maintenance work. To obtain a better model for each of the available equipment classes, data mining analysis was used to compare different algorithms. These trend analyses and models will help the equipment manager to take decisions related to equipment maintenance cost
Language
English
DOI
doi:10.7939/R3KD1QS4K
Rights
Permission is hereby granted to the University of Alberta Libraries to reproduce single copies of this thesis and to lend or sell such copies for private, scholarly or scientific research purposes only. Where the thesis is converted to, or otherwise made available in digital form, the University of Alberta will advise potential users of the thesis of these terms. The author reserves all other publication and other rights in association with the copyright in the thesis and, except as herein before provided, neither the thesis nor any substantial portion thereof may be printed or otherwise reproduced in any material form whatsoever without the author's prior written permission.
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