Bachkir L. Information technology for a system of task support decision of transport logistics in a term of small sample of basic data

A research object - processes of decision making in the traffic management system under conditions of a small sample of the stochastic input data. A research aim is the information technology development for problem solving support systems in traffic management of high dimension under conditions of a small sample of stochastic initial data. Research methods are methods of probability theory and mathematical statistics, methods of stochastic mathematical programming, methods of continual linear programming, methods of system analysis, decomposition, mathematical programming. Theoretical and practical results - development technology for decision support systems problems of transport logistics, developed a method for problem solving concerning transportation planning and management taking into account the stochastic nature of the initial data, methods for problem solving of transport logistics of high and ultrahigh dimension. The novelty is in the improvement of methods for solving optimization problems of transportation and the development information technologies for system of support decision problems of transport logistics in terms of a small sample. A degree of introduction - results of the thesis have been introduced into the activity of joint- stock enterprise "Ukrtatnafta" (Kremenchuk), private enterprise "Transit-Service" (Kremenchuk), in the education process at Kremenchuk Mykhailo Ostrohradskyi National University. Sphere of the use - for making of well-grounded decisions by transport companies, in organizations, in the logistics departments during transportation arrangements.