An ontology-driven approach for modelling TMS fuel consumption information subsystem

Abstract

The use of information technologies for the automotive transport and logistics management has opened game-changing opportunities for business, providing solutions to critical problems of sustainable development in turbulent environments. Today, the data for transport operations can be processed and used for the managerial decision-making, actually, on-line. However, despite abundance of TMSs on the market, many transport companies use them for solving operating management problems only. There are also lots of companies which do not use TMSs at all. Practice shows that managers of numerous transport companies have a little idea of how the records management data can be transformed into the awareness of improving efficiency of the transportation process. In our opinion it may be explained by the fact that different management levels use the knowledge from various domains, such as transport, IT, economic, and financial areas. Accordingly, the transformation of contemporaneous data into the managerial decisions requires an approach which is discussed in this paper using an example of introduction of TMS fuel consumption information subsystem.