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    Information technology of forming option for logistics distribution channel configuration resistant to emergencies
    (Національний технічний університет "Харківський політехнічний інститут", 2021) Godlevskyi, Ihor Mykhailovych; Godlevskyi, Mykhailo Dmytrovych; Stativka, Iryna Vitaliivna
    The problem and the main stages of choosing a rational configuration of a four-level logistics network that is resistant to the impact of emergencies for strategic planning are considered. The problem under consideration belongs to the class of multicriteria optimization problems. Criteria related to the financial costs of building and operating a logistics distribution channel, as well as criteria related to the level of quality of customer service, are contradictory. To solve the problem of stability of the logistics system configuration to emergencies, such as failure of int ermediate warehouses, failure of transport arteries, etc., a strategic management information system was developed by integrating existing software components at the level of enterprise software applications. The integration of the system was based on a service-oriented architecture, as all its components are heterogeneous in nature. This approach allows you to reuse existing program code. To determine a sustainable configuration option, two criteria are used, which are considered equivalent: the level of costs for the maintenance of the logistics channel and the level of service quality in the event of different emergencies. Since the probability of emergencies is unknown, the minimax criterion is used to minimize the risk when choosing a rational configuration of the logistics network. For this purpose, losses from emergencies are calculated according to all criteria, and there is a variant of the logistics network configuration that will be the least risky. That is, we will not be able to get a worse result than the one we rely on. The results of the study are presented in the form of a configuration variant of the logistics distribution system, which can be used in the future to determine business options.