The entrepreneurial network simulation model for the supporting system of management decisions making at a municipal level

Берг, Д. Б.; Apanasenko, A.V.; Medvedeva, Marina A.; Parusheva, Silvia

doi:10.1063/5.0027269

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Cited by 2 publications

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System dynamics model in data management on the network contracts and supplies of the production network participants

Timokhin,

Kolomytseva,

Medvedeva

2023

AIP Conference Proceedings

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System dynamics model in data management on the network contracts and supplies of the production network participants

Timokhin,

Kolomytseva,

Medvedeva

2023

AIP Conference Proceedings

View full text Add to dashboard Cite

Optimisation Models for Inventory Management with Limited Number of Stock Items

Vasilev

Milkova

2022

Logistics

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Background: Stocks of raw materials and finished products are found in all units of logistics systems and require significant financial means of management. For this reason, scientifically justified approaches to stock management and cost minimisation must be explored. Despite the existence of many such approaches in literature and practice, each case has its own specificities and specificities to which stock management models should be adapted. In this article, the aim of the authors is to propose an approach to determine optimal supply sizes from different types of stocks (more than one is known in the literature as multi-nomenclature) that minimises only the cost of inventory management. The cost of inventory is not included. Methods: The article used the methods of mathematical optimisation, the method of least squares, and regression analysis. The scope of the models in the article is inventory management, with a limited number of stock keeping units. Time series data for the delivered quantities and time series data for the costs of stock management are used. Both time series use the same time period. Results: The constructed specific nonlinear mathematical models for optimising the total cost of stock management are approbated based on sample data and the results obtained are analysed. Conclusions: The created mathematical models and methods for optimising the total cost of stock management may be used by logistics managers to minimise the total costs of inventory management.

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The entrepreneurial network simulation model for the supporting system of management decisions making at a municipal level

Cited by 2 publications

References 8 publications

System dynamics model in data management on the network contracts and supplies of the production network participants

System dynamics model in data management on the network contracts and supplies of the production network participants

Optimisation Models for Inventory Management with Limited Number of Stock Items

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