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DEVELOPMENT OF THE DECISION SUPPORT SYSTEM IN TRANSIT TRADE OF INDUSTRIAL GOODS ON THE BASIS OF COGNITIVE APPROACH AND LINEAR PROGRAMMING

Currently, the market for industrial goods in Russia has formed a complex mechanism of movement of goods from producer to final consumer. An active role in the goods movement play a small wholesale transit trade companies, which carry out mediation activities. Decision makers are an integral part of the management of these enterprises. Due to a lack of skills and low level of knowledge about the market, lack of skills and gain economic ties with enterprises in particular transport and logistics sector as a whole, these companies become a source of inefficient solutions in the field of logistics of goods delivery, reducing the overall economic efficiency of commodity markets. Developed cognitive method for formalizing the optimization problem based on the development of a cognitive map which quantitative vertices and their relationship justify the selection of optimization model parameters and constraints for industrial goods transit trade.