THERMAL SCIENCE

International Scientific Journal

A HYBRID MULTI-CRITERIA DECISION MAKING MODEL FOR THE VEHICLE SERVICE CENTER SELECTION WITH THE AIM TO INCREASE THE VEHICLE FLEET ENERGY EFFICIENCY

ABSTRACT
In this paper is researched how to achieve an effective fleet maintenance planning in transport companies, which contributes in increasing the fleet energy efficiency and in achieving the companies’ goal. Within the fleet maintenance planning, managers have to make the right decisions on the selection of vehicle service centers in the region where the maintenance work will be realized. The mentioned decision is affected by a number of different interdependent factors (criteria). Based on a survey, relevant factors (criteria) were defined. As defined factors are interdependent and differently influence the mentioned decision, an approach of decision making trial and evaluation laboratory (DEMATEL)-based analytic network process called DANP was applied. In this respect, authors propose a hybrid multi-criteria decision making model. The proposed model was applied in the companies to demonstrate how effective their managers are in the maintenance planning and how this effectiveness influences the fleet energy efficiency and fulfilment of companies’ goal. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. 36027: Software development and national database for strategic management and development of transportation means and infrastructure in road, rail, air and inland waterways transport using the European transport network models]
KEYWORDS
PAPER SUBMITTED: 2017-05-30
PAPER REVISED: 2017-08-21
PAPER ACCEPTED: 2017-09-19
PUBLISHED ONLINE: 2017-10-07
DOI REFERENCE: https://doi.org/10.2298/TSCI170530208V
CITATION EXPORT: view in browser or download as text file
THERMAL SCIENCE YEAR 2018, VOLUME 22, ISSUE 3, PAGES [1549 - 1561]
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© 2018 Society of Thermal Engineers of Serbia. Published by the Vinča Institute of Nuclear Sciences, Belgrade, Serbia. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution-NonCommercial-NoDerivs 4.0 International licence