All

What are you looking for?

All
Projects
Results
Organizations

Quick search

  • Projects supported by TA ČR
  • Excellent projects
  • Projects with the highest public support
  • Current projects

Smart search

  • That is how I find a specific +word
  • That is how I leave the -word out of the results
  • “That is how I can find the whole phrase”

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

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26510%2F16%3APU119404" target="_blank" >RIV/00216305:26510/16:PU119404 - isvavai.cz</a>

  • Result on the web

    <a href="http://www.intechopen.com/journals/international_journal_of_engineering_business_management/an-artificial-neural-network-model-for-the-wholesale-company-order-s-cycle-management" target="_blank" >http://www.intechopen.com/journals/international_journal_of_engineering_business_management/an-artificial-neural-network-model-for-the-wholesale-company-order-s-cycle-management</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.5772/3" target="_blank" >10.5772/3</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

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

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    50602 - Public administration

Result continuities

  • Project

  • Continuities

    S - Specificky vyzkum na vysokych skolach

Others

  • Publication year

    2016

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    International Journal of Engineering Business Management

  • ISSN

    1847-9790

  • e-ISSN

  • Volume of the periodical

    2016

  • Issue of the periodical within the volume

    8

  • Country of publishing house

    HR - CROATIA

  • Number of pages

    6

  • Pages from-to

    1-6

  • UT code for WoS article

    000381868600001

  • EID of the result in the Scopus database

    2-s2.0-84995532106