I. Introduction
The development and research related to decision systems that support logistics and fleet management is of high interest among many industrial and scientific entities. Cost reduction related to optimal distribution of transportation resources, appropriate scheduling, deployment of vehicles and personnel leads to economical, fiscal savings and allows for indirect and direct cost reduction [1]. Recently, large amount of industrial, scientific projects and theory has been developed with respect to problems stated above i. e [2]–[4].