DETERMINING THE NUMBER OF VEHICLES FOR CROSS-DOCKING IN CONDI-TIONS OF UNCERTAINTY AND LIMITED RESOURCES

Abstract

The article analyzes the existing methods of building cargo handling technologies in warehouses using cross-docking technology. The chosen topic is quite relevant, since the use of cross-docking technology is one of the most promising areas for improving the efficiency of international cargo transportation. The article presents a methodology for determining the optimal number of vehicles required for efficient cross-docking operations under conditions of uncertainty and limited resources. The proposed approach takes into account the key parameters of logistics processes, including the dynamics of incoming and outgoing cargo flows, restrictions on the capacity of logistics hubs, variability of transportation demand and possible delays in delivery. The proposed methodology is based on the use of mathematical optimization models that minimize the operating costs of truck maintenance and reduce the risks of penalties in case of violation of contractual terms and conditions regarding the timing and quality of logistics operations. The study considers various scenarios of loading and unloading processes, taking into account the uneven distribution of cargo flows, limited warehouse and transshipment capacities, possible disruptions in delivery schedules, and other uncertain factors. Effective cross-docking operations require perfect coordination of incoming and outgoing flows on logistics platforms. This is because cross-docking involves minimizing the time for cargo handling without long-term storage, which requires clear synchronization between all participants in the logistics process - suppliers, carriers, customs authorities and recipients of goods. The factors that determine the conditions of uncertainty in the organization of cross-docking in international transportation are outlined. The obtained results can be used to improve the efficiency of logistics systems, optimize the use of the vehicle fleet, reduce operating costs and improve the overall quality of service in the field of international transportation. The proposed methodology is useful for logistics operators, transport companies, and analysts involved in transportation management and the development of strategies to improve logistics processes in the context of cross-docking.