PLANNING OF CARGO TRANSPORTATION IN TERMS OF HIGH RISKS

Abstract

The problem of planning of cargo transportation in the logistics chain "supply-production-sales" in terms of high risks has been stated and solved. Risk factors are analyzed and, with the help of experts, their impact on the main transportation performance is evaluated by means of full-factorial experiment planning. It makes possible to identify the significant risk factors and use them in future to take measures on risk minimization and neutralization. In order to create the cargo transportation schedules the problem of getting the most efficient transport route that minimizes the risks has been formulated and solved. The routing algorithm based on simulation for making the cargo transportation plan in terms of high risks is proposed. In order to reach the goal the distribution of "numerical" waves between the different transport hubs is used. It makes possible to find the least risky route for the vehicles. The obtained route of the movement serves as the basis for obtaining schedules of cargo passing through the transport nodes of the system, in which storage, transportation or distribution of cargo flows is possible. The algorhythm will allow the formation of rational traffic routes simultaneously for several cargo flows and delivery and acceptance points of cargo flows. The optimization of costs for cargo transportation by the selection and justification of measures aimed at minimizing risks using Boolean linear programming has been carried out. The proposed approach should be used in the tasks of planning the transportation of goods in the logistical chain "supply - production - sale" in conditions of increased external and internal risks.