articles

Modern economy is characterized by mass production and introduction of production services within the digital ecosystems that assist the customer in obtaining the final results, in particular, organization of procurement of radio-electronic components. The relevance of the task of optimal inventory rating control is related to development of a service that minimizes risks arising from uncertainty of such factors as receipt of requests for commodity and its supply, supplier’s prices and selling prices, etc. The issues of development of economic and mathematical models of inventory rating optimization applicable to the specific features of vertically integrated companies and legally independent organizations operating in conditions of the market economy on kanban principles are considered. It is shown that in conditions of uncertainty, use of ratings allows to increase the efficiency of the inventory control system. The possibility of presentation of the inventory control system in the form of an evolutionary simulation model is substantiated. The procedure is provided to bring the task of inventory rating to the canonical form of an evolutionary simulation model (ESM). The peculiarities of the inventory control systems are revealed using the examples of “Stock” ESM for VIC and “Zapas” ESM for independent companies. The methods are determined for calculation of the derived rates: the average number of supplies, the average interval between supplies, etc. The contribution of the authors of the article consists in development of the ESM applicable to inventory rating, which combines the simulation models (estimates of the actual overstatement and understatement cost options relative to the planned radioelectronic components inventory rate, as well as estimates of the expected costs (risks) obtained in statistical tests) with the optimization models implemented based on the theory of equilibrium random processes. The aggregate strategy, i.e. the strategy aimed at minimizing the amount of the overstatement and understatement risks is used as a criterion for inventory rating. The experimental studies of “Stock” and “Zapas” models implemented using the “Equilibrium” module of the author’s system – “Decision” allow real-time modeling of various options of the studied rates.