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Detail publikačního výsledku
ŠUSTROVÁ, T.
Original Title
An Artificial Neural Network Model for a Wholesale Company’s Order-cycle Management
English Title
Type
WoS Article
Original Abstract
The purpose of this article is to verify the possibility of using artificial neural networks (ANN) in business management processes, primarily in the area of supply chain management. The author has designed several neural network models featuring different architectures to optimize the level of the company’s inventory. The results of the research show that ANN can be used for managing a company’s order cycle and lead to reduced levels of goods purchased and storage costs. Optimal neural networks show suitable results for subsequent prediction of the amount of items to be ordered and for achieving reduced inventory purchase and keeping costs down.
English abstract
Keywords
Lot-sizing Problem, Inventory Management, Artificial Neural Network
Key words in English
Authors
RIV year
2017
Released
01.06.2016
Publisher
InTech
ISBN
1847-9790
Periodical
International Journal of Engineering Business Management
Volume
8
Number
1
State
United Kingdom of Great Britain and Northern Ireland
Pages from
Pages to
6
Pages count
URL
https://journals.sagepub.com/doi/full/10.5772/63727
Full text in the Digital Library
http://hdl.handle.net/11012/204284
BibTex
@article{BUT126189, author="Tereza {Šustrová}", title="An Artificial Neural Network Model for a Wholesale Company’s Order-cycle Management", journal="International Journal of Engineering Business Management", year="2016", volume="8", number="1", pages="1--6", doi="10.5772/63727", issn="1847-9790", url="https://journals.sagepub.com/doi/full/10.5772/63727" }
Documents
63727