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Classification of Inventory Management Methods Based on Demand Analysis in Supply Chains
Improving the efficiency of inventory management in supply chains
remains relevant for industrial, commercial, service and other enterprises. The
results of a supply chains survey (distribution center - stores) with weekly deliveries
throughout the year demonstrated that inventory management strategies may
be classified into three groups: smooth (more than 47 weeks per year deliveries
are recorded), low (from 20 to 46 weeks per year), and sporadic and lumpy (less
than 20 weeks per year). The conducted studies have shown that for three groups
of inventory management strategies in supply logistics, it is advisable to form
three groups of calculation models that allow obtaining quantitative estimates of
supply amount andmaking decisions under conditions of certainty, risk and uncertainty.
The first group of calculation models includes Last period or Naive, as well
as Exponential smoothing with trend, Multiple regression, etc. The second group
consists of combined models, including estimates of the first group and expert estimates
under risk conditions. The third group involves models based on decisionmaking
under conditions of uncertainty. The proposed approach allows making
reasonable management decisions based on the identification of the demand type
to improve the efficiency and reliability of the supply chain