Publication detail

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

ŠUSTROVÁ, T.

Original Title

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

Type

journal article in Web of Science

Language

English

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.

Keywords

Lot-sizing Problem, Inventory Management, Artificial Neural Network

Authors

ŠUSTROVÁ, T.

Released

1. 6. 2016

Publisher

InTech

ISBN

1847-9790

Periodical

International Journal of Engineering Business Management

Year of study

8

Number

1

State

Republic of Croatia

Pages from

1

Pages to

6

Pages count

6

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"
}