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Mathematical models of the consumable materials inventory management system at automotive enterprises

Antipenko Vitaly Safronovych  (doctor of technical sciences, associate professor, Federal State Autonomous Educational Institution Higher Education "Russian University of Transport")

Babich Nikolai Sergeevich  (postgraduate student, Federal Stateautonomous Educational Institution Higher Education "Russian University of Transport")

During the years of operation, engineering enterprises often accumulate excess stocks of resources, both initial material resources and finished products, which lie in warehouses, become morally and physically obsolete, losing their value, and actually freeze the funds invested in them. Purpose: improving the efficiency of spare parts inventory management systems for special-purpose machines. Task: solved by building models, their algorithmization and optimization. Hypothesis: Lack of inventory can disrupt the sustainability of production and can lead to downtime and losses. Excess stock leads to higher production costs and worsens economic performance. Therefore, there is some cost-optimal inventory level. Methods: the problem of logistics is solved - to find the optimal combination of these conflicting requirements using the methods of stochastic approximation. The published data show that there is a gap between the theory and practice of inventory management. Therefore, the main problem of optimizing inventory levels is to find such a level that would ensure economic efficiency and continuity of the production process with the minimum required level of inventory at the enterprise. We confine ourselves to considering the theory of inventory management in warehouses of production systems. Results: practical optimization problems for 3 industrial facilities are solved.

Keywords:Optimization, Logistics, Algorithms, Mathematical model, Transport.

 

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Citation link:
Antipenko V. S., Babich N. S. Mathematical models of the consumable materials inventory management system at automotive enterprises // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№06. -С. 53-57 DOI 10.37882/2223-2966.2022.06.03
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