The cost associated with the procurement and storage of spare parts accounts for almost a third of the overall structure of automotive transport operating expenses. Consequently, inventory management is a crucial aspect of enterprise operations, and research focused on developing more accurate methods for predicting the need for spare parts is of practical interest. This study proposes planning spare parts inventory based on their reliability. The essence of this approach is dividing spare parts into groups according to their failure rate and further determining the quantitative and nomenclature needs within these group. The study was conducted using KAMAZ-54901 vehicles. In accordance with the vehicle’s design, spare parts were divided into 8 groups. Statistical data revealed groups of spare parts with low reliability (electrical equipment, braking system). Therefore, these groups will necessitate the largest stock volumes. This approach enables the optimization of spare parts stock at the enterprise's warehouse.
Yu. D. Ishkin (Fri,) studied this question.