Classification of Inventory Management Methods Based on Demand Analysis in Supply Chains

Author:

Lukinskiy Valery,Lukinskiy Vladislav,Bazhina Darya,Gazizova Ekaterina,Bernadskii Igor

Publisher

Springer International Publishing

Reference13 articles.

1. Prause, F., Prause, G.: Inventory routing analysis for maritime LNG supply of German ports. Transp. Telecommun. 22(1), 67–86 (2021)

2. Treiblmaier, H., Garaus, M.: Using blockchain to signal quality in the food supply chain: the impact on consumer purchase intentions and the moderating effect of brand familiarity. Int. J. Inf. Manage. (2022). https://doi.org/10.1016/j.ijinfomgt.2022.102514

3. Jackson, I., Tolujevs, J., Kegenbekov, Z.: Review of inventory control models: a classification based on methods of obtaining optimal control parameters. Transp. Telecommun. 21(3), 191–202 (2020)

4. Bowersox, D., Closs, D., Cooper, M.: Supply Chain Logistics Management, 2nd edn. McGraw-Hill, New York (2007)

5. Yalaoui, A., Chehade, H., Yalaoui, F., Amodeo, L.: Optimization of Logistics. John Wiley & Sons, Inc., USA (2012)

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1. Inventory Management Under Dependent Demand in the Conditions of Risk;Lecture Notes in Networks and Systems;2024

2. The Use of Artificial Intelligence in Supply Chain Management and Logistics;Advances in Business Information Systems and Analytics;2023-12-18

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