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Article

Распределение товаров в складской сети: оптимальные решения по многим критериям

The paper presents the research of features to determine the best solutions for the distribution of the goods in the warehouse network problem on many criteria. The authors have shown that the synthesis of the following methods or approaches can be applied effectively to a network for storage of optimization decisions. 1) Simulation of random orders by Monte Carlo method at a regular interval of supply planning time. 2) Analytical hierarchy process to compare the importance of particular criteria, taking into account the decision maker's preferences. 3) Linear programming in order to minimize transportation and storage costs of the goods (in the format of apriori played out random shop’s orders scenarios to be analyzed in relation to the possible adoption of alternatives, and order execution strategies). The synthesis of these methods makes it possible to formalize a set of alternatives for the organization of deliveries from the central warehouse to the distribution warehouse and shops. The task distribution of the goods in the warehouse network is formalized as the problem of multicriteria selection. It is the implementation of this approach to optimization solutions for the distribution of goods in the warehouse network is presented in this article. As partial criteria are considered: 1) the need to reduce the average daily stock levels, pallets (so the figure would be minimized); 2) the requirement to reduce the average daily cost of storage and cargo handling, USD (thus, the rate and should be minimized); 3) the need to reduce the average daily transport expenses, USD (and this figure will be reduced). Approach to optimize the distribution of goods in the warehouse network, presented in this article has the following characteristics. Along with the procedures of optimization in the article presented a special modification of indicators of partial criteria, which, in contrast to the traditional approaches of the theory of multicriteria optimization, allows more adequately take into account the preferences of the decision maker. This is achieved by the developed synthesis procedures to be taken into account when optimizing the efficient approaches to providing indicators such as in the form of the theory of multicriteria optimization, and in the format of the method of analytic hierarchy. The paper reverals the procedure for determining the best solution on the basis of a) traditional and generalized selection criteria (multiplication, Hurwitz, maximin); b) the method of analytic hierarchy; c) modified selection criteria. The paper also gives recommendations how to adequately take into account the preferences of decision-makers on the importance of particular criteria and also analyzes the impact of changes in their structure on the ranking of alternatives for different selection criteria.