DATA BASED ANALYTICAL IDENTIFICATION OF VEHICLE MAINTENANCE COST COMPONENTS AND USAGE DATA TRENDS
No Thumbnail Available
Date
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IAEME Publication
Abstract
Description
Learning from past trends is vital for efficient planning and future decisions. Maintenance expenditure is a significant portion of the total operational cost of an
organization. In corporate organizations, selected vehicles are dedicated as pool cars for conveying employees as they pursue their business objectives. For optimal
performance of pool cars, adequate fund must be available for maintenance purposes and the usage and maintenance profile of each car should be adequately tracked by
the maintenance team. The data, statistically analysed in this article contains the maintenance cost, fuel volume and cost, and mileage coverage data for 25 pool cars of
maintenance cost showing the major faults, the frequency of occurrence and the associated maintenance and repair costs. Monthly trends were developed and maintenance cost predictive analysis using the fuel expenses, fuel volume and mileage targets and predictors using Classification and Regression (C&R) Tree node analysis. The result shows that a significant correlation exists between the mileage covered by the vehicles and the maintenance cost, this therefore emphasizes the need for mileage based periodic maintenance of vehicles. This study serves as a basis and motivation
for corporate organizations to collect relevant vehicle usage and maintenance data that can reveal vital information and trends about their vehicle maintenance culture
and management.
Keywords
T Technology (General), TK Electrical engineering. Electronics Nuclear engineering