Detail publikace

An Artificial Neural Network Model for a Wholesale Company’s Order-cycle Management

ŠUSTROVÁ, T.

Originální název

An Artificial Neural Network Model for a Wholesale Company’s Order-cycle Management

Typ

článek v časopise ve Web of Science, Jimp

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

Lot-sizing Problem, Inventory Management, Artificial Neural Network

Autoři

ŠUSTROVÁ, T.

Vydáno

1. 6. 2016

Nakladatel

InTech

ISSN

1847-9790

Periodikum

International Journal of Engineering Business Management

Ročník

8

Číslo

1

Stát

Chorvatská republika

Strany od

1

Strany do

6

Strany počet

6

URL

https://journals.sagepub.com/doi/full/10.5772/63727

Plný text v Digitální knihovně

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"
}