Article ID Journal Published Year Pages File Type
387649 Expert Systems with Applications 2012 12 Pages PDF
Abstract

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.

► Defined indicators for efficient decision-making in fleet maintenance management. ► Joint consideration of transport, maintenance processes and their environment. ► A model developed using DEMATEL and ANP methods. ► Model implemented for evaluation of managers’ perception and realised results. ► Managers scored better in perception than in maintenance management practice.

Related Topics
Physical Sciences and Engineering Computer Science Artificial Intelligence
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