Mathematical and instrumental means of providing an intelligent decision support system for cargo traffic management

In the current geopolitical and economic conditions, issue of making operational management decisions for effective functioning country's enterprises is particularly acute, taking into account organizational technological features, as well increasing levels risk uncertainty associated, among other things, with need to process flows specific rapidly changing information. this regard, intelligent decision support systems are becoming increasingly popular, containing modules collecting, processing modeling formalized data having both a universal character adaptation range issues relevant certain group or even single enterprise. The purpose presented study was develop such system managing cargo flows. Based on analysis, developed proposed, which used improve efficiency flow process. Its main blocks their logical relationship described. mathematical consists complex classical models adapted individual modules, generalized planning placement. When forming set alternative routes, Yandex Maps used. To automate selection transportation route, algorithms fuzzy logic rules used, implementation calculations in DataLens environment. attention paid subsystem management. A functional scheme digitalization formation waybills control presented, block diagram algorithm based software product implemented at number that automates filling out waybills, specifics fleet selected routes. Within framework synthesis structure system, allows optimize organizing transportation, approbation proposed approaches carried out, showed an increase choosing routes flows, reducing time find solution, costs movement conditions emerging problems associated accidental factors. aimed small firms, engaged, also organization by means vehicles, since they greater zone than large companies whose activity provision services wide network representative offices, logistics centers composition vehicles.