Modeling Maintenance Cost for Road Construction Equipment

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