Planning of an Insurance Stock in a Distribution Network Using Neural Networks

Student: Kustikova Polina

Supervisor: Yulia A. Kuznetsova

Educational Programme: Strategic Management in Logistics (Master)

Year of Graduation: 2018

The aim of this work is the development a technique for the use of neural networks for planning the insurance reserve in the distribution network The object of the study is an international oil and gas company The subject of the study is the method of application of neural networks for planning the level of stock in the distribution network. The paper presents a comparison of the results of the neural network with the method of prediction ARIMA. The result of the work is the development of an algorithm for the use of neural networks for planning the insurance stock in the distribution network.

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