Application of multivariate statistical methods for decision-making in industrial spare parts inventories case of the automotive sector in Colombia.

This research article delves into the vital importance of inventory control and management, specifically in relation to spare parts used in the maintenance of industrial equipment. Multivariate statistical methods are used to evaluate both the quantities consumed and the frequency of use, with the purpose of effectively classifying spare parts according to their distinctive characteristics. This approach is intended to be an objective guide, contributing significantly to the efficiency and sustainability in the integral management of spare parts inventories. [ABSTRACT FROM AUTHOR]