Optimization of cargo delivery volumes by road carries in the system of providing transport services
Abstract
The work considers the formulation of the problem of optimizing the transport process in transport service supply chains and the method of its solution. The study of the transport process of servicing incoming flows of cargo transportation orders showed that in the conditions of competition, motor transport companies try to optimize their activities. However, such optimization leads to the fact that carriers unreasonably refuse obviously promising orders, if the properties of the relevant transport processes are taken into account. It becomes quite difficult to achieve further improvement of the execution of a set of orders at the individual level. This means that transport processes for servicing a single incoming flow of orders should be based on new principles of synthesis. Despite the random nature of the orders, organizational relationships can be established between them, which can serve as signs for building an optimally structured integrated transport process. In order to solve the problem of optimization of the transport process, from the point of view of satisfaction the need for fulfilling orders for the transportation of goods, in transport service supply chains the use of structural modeling is proposed, which makes it possible to carry out the distribution of own vehicles of enterprises that interact with each other, to determine the need for their rental and in the amount of necessary information that, in aggregate, leads to the maximum profit of the enterprise.The initial data and conditions of the formulated task of order fulfillment planning were performed according to the criterion of the maximum profit of the motor vehicle enterprise. The purpose of these studies was the development of methodological bases for optimizing the volume of truck transportation of transport companies, taking into account the potential of their interaction at various levels.Keywords: transportation process, motor vehicle enterprise, supply chain, transportation order, optimization, profit.