Algorithm for Optimizing the Supply of Spare Parts to Vehicles With Information and Logistics Support of the Processes of Replenishing Their Resource

Abstract

The necessity to generate statistical data of diagnostic parameters of vehicles during their operation is determined. An algorithm for optimizing the supply of spare parts has been developed, taking into account the information and logistics support for the process of replenishing their resource, and an adaptive-controlled approach has been formed in the form of a model of the process of "replacing" the range of spare parts in vehicles. A system-analytical approach to the delivery of spare parts is determined, taking into account the stepwise change in their cost. The developed theoretical provisions will significantly reduce the complexity and time spent in a vehicle idle time.