Expert Systems with Applications: An International Journal
Maintenance Routing for Train Units: The Transition Model
Transportation Science
The study of applying ANP model to assess dispatching rules for wafer fabrication
Expert Systems with Applications: An International Journal
Choosing knowledge management strategies by using a combined ANP and DEMATEL approach
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Aggregate analysis of manufacturing systems using system dynamics and ANP
Computers and Industrial Engineering
Evaluating vehicle telematics system by using a novel MCDM techniques with dependence and feedback
Expert Systems with Applications: An International Journal
An integrated MCDM technique combined with DEMATEL for a novel cluster-weighted with ANP method
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Analysis of decision making factors for equity investment by DEMATEL and Analytic Network Process
Expert Systems with Applications: An International Journal
Graph-based reasoning in collaborative knowledge management for industrial maintenance
Computers in Industry
Hi-index | 12.05 |
The paper refers to the importance of maintenance management to increase the vehicle fleet energy efficiency. The fleet maintenance management influences as the vehicle maintenance process itself as well as the primary transport process but also their environment. In order to increase fleet energy efficiency by means of a more efficient maintenance management, it is indispensable to observe maintenance process, transport process and the environment. Since the implementation effects of such measures can be measured by different indicators, this paper analyses the influence of indicators in all three mentioned areas on management decision-making. In this sense, appropriate indicators have been defined and subsequently used in fleet maintenance management. To determine levels and intensities of interdependence as well as relative weight of selected indicators two methods have been combined: Decision Making Trial and Evaluation Laboratory (DEMATEL) and Analytic Network Process (ANP). A model was proposed with indicators' interdependence whose relative weights were calculated. The proposed model has been implemented in several companies with road vehicle fleets. Collected results show the perceived evaluation by company managers in view of maintenance management process influence onto their fleet energy efficiency. Besides, by proposed model implementation we have obtained equally managers' evaluation upon effectiveness and efficiency of the maintenance management within studied companies.