Organizational design of a rail company using fuzzy ANP

For development of state policy, railway traffic has great importance, considering necessary reduction of traffic pollution, strengthening and increase of the national rail company. According to the rail market liberalization and deregulation, a rail company has to be flexible and open to the current trends on the market. The organizational design has great importance, since a rail company with an adequate structure can take a better position on the transport market. Organizational structure enables a company to achieve its planned strategic goals and to function effectively and efficiently. In this paper, fuzzy analytic network process was used as a solution for making a decision, which alternative was optimum, considering the variety of data, and their uncertainty, interactions and feedback. This method was applied as a tool for choosing the optimal organizational structure, and it was presented at numerical example based on the data from the Montenegro Railway.