Open AccessIntelligent automation system of the railway company’s purchasing activity based on artificial neural networks
Author(s) -
Danil Gek,
В. В. Кукарцев,
I V Markevich,
Daria Shalaeva,
A S Yadrov,
Daria Rogova
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1151/1/012042
Subject(s) - purchasing , procurement , quality (philosophy) , artificial neural network , computer science , automation , plan (archaeology) , product (mathematics) , work (physics) , operations research , software , artificial intelligence , operations management , business , engineering , marketing , mechanical engineering , philosophy , geometry , mathematics , archaeology , epistemology , history , programming language
A person is responsible for quality control of the purchase forecast of commercial enterprises, which entails a number of certain consequences. In this regard, we decided to create an intelligent system that will determine the quality of the forecast. Such a system will be a human assistant in deciding on the quality of the forecast. The system will also be able, if necessary, to indicate the necessary adjustments for its forecasting method. As part of this work, a software product will be created that will determine the quality of the created trade procurement plan, and, if necessary, help the user adjust the forecasting method used by the outlet. The aim of the work is to create an intelligent procurement system that will generate its forecast using a neural network, and then determine the forecast error using XYZ analysis.