Информационные технологии и инновации на транспорте: материалы VI Международной научно-практической конференции (20 мая 2020 года)
Thearticle presents a special modification of the EOQ-formula for the optimization of deliveries when renting storage facilities is presented. This modification will allow taking into account the specifics of the following processes of the simulated supply chain: 1) vehicle cargo capacity; 1) time value of money; 2) deferred payment of the order; 3) allowable delays in receipt of revenue from the executed order. The corresponding optimization procedures were carried out concerning the inventory management system that considered the scenario when the schedule of outgoing and incoming cash flows allows paying the costs of the supply chain from the proceeds received on the reorder interval. Necessary and sufficient conditions are established based on which managers will be able to identify models of the specified type.
The purpose of the work is to draw attention to the possibility of improving the quality of decision-making in the context of the transition to a digital economy. The problem is related to the optimization of transportation supply according to the multi-criteria choice of the best route. The paper discusses aspects of the elimination of undesirable phenomenon related to the inconsistency of the nature of the indicators of particular criteria. The study proposes to eliminate it by the following methods: 1) based on the transition to generalized data; 2) based on a synthesis of analytical hierarchy processes and traditional selection criteria. The research shows that the transition to generalized data can lead to other undesirable aspects of inadequate choice. It may turn out that one of the particular criteria will not affect the best choice in the format of the minimax selection criterion procedures. In such situations it is considered to use a synthesis of traditional selection criteria procedures with analytical hierarchy processes, in which these undesirable situations do not arise.