Russian Federation
The relevance of this study stems from the high degree of uncertainty surrounding the functioning of the logistics system for the Russian Ministry of Emergency Situations and rescue military units during emergency response. Material shortages and disruption of external communications create the risk of logistics system failure, necessitating the development of effective methods for allocating limited resources. The main results of the study include the development of a new combined method for allocating the scarce resource of the logistics system. The method integrates two key approaches: allocation based on consumer priority and proportional allocation to stated needs, taking into account the overall level of supply. To determine consumer priorities, the proposed method of relative preferences reduces subjectivity and administrative costs compared to the expert assessment method. The model includes constraints that prevent complete depletion of reserves below a critical level and ensure a minimum satisfaction of the needs of all units. The novelty of the study lies in the synthesis of the advantages of existing methods (taking into account priority and uniform distribution) in a single algorithm that adapts to the level of resource provision and allows avoiding both a complete denial of service to low-priority units and ignoring strategically important tasks.
modeling of the supply distribution process, logistics support system, declared need, actual availability, priority allocation, relative preference method
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