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Inventory management logistics in a machine-building enterprise

Antipenko Vitaly Safronovich  (Doctor of Technical Sciences, professor, Russian University of Transport (MIIT))

Babich Nikolay Sergeevich  (postgraduate student, Russian University of Transport (MIIT))

Babich Mikhail Denisovich  (Ph.D., Russian University of Transport (MIIT))

Kasimenko Lidia Mikhailovna  (Ph.D., Associate Professor, Russian University of Transport (MIIT))

Over the years of operation, machine-building enterprises often accumulate surplus reserves of resources, both initial material resources and finished products, which lie in warehouses, morally and physically become obsolete, losing their value, and actually freeze the funds invested in them. The problem of logistics arises - the problem of increasing the efficiency of stock management systems for spare parts for special-purpose vehicles by building models, their algorithms and optimization. Lack of stocks can disrupt the stability of production, lead to downtime and losses. Excessive stock leads to higher production costs and worsens economic performance. Therefore, there is a certain cost-optimal level of stock. It is a typical logistical challenge to find the optimal combination of these conflicting requirements. Published data show that there is a gap between theory and practice of inventory management. Therefore, the main problem of optimizing inventory levels is to find such a level that would provide economic efficiency and continuity of the production process with the minimum required level of inventory at the enterprise. We restrict ourselves to considering the theory of inventory management in warehouses of production systems.

Keywords:logistics, stock, strategy, stochastic mathematical model, criterion, algorithm, optimization.

 

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Citation link:
Antipenko V. S., Babich N. S., Babich M. D., Kasimenko L. M. Inventory management logistics in a machine-building enterprise // Современная наука: актуальные проблемы теории и практики. Серия: Естественные и Технические Науки. -2022. -№01. -С. 37-42 DOI 10.37882/2223-2966.2022.01.04
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