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Challenges for automatic identification systems in the supply chain

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216275%3A25510%2F19%3A39915075" target="_blank" >RIV/00216275:25510/19:39915075 - isvavai.cz</a>

  • Result on the web

    <a href="https://www.inderscience.com/info/inarticle.php?artid=103324" target="_blank" >https://www.inderscience.com/info/inarticle.php?artid=103324</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1504/IJLC.2019.103324" target="_blank" >10.1504/IJLC.2019.103324</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Challenges for automatic identification systems in the supply chain

  • Original language description

    This Article deals with Challenges for Automatic Identification Systems in the Supply Chain. In this article there are described the most often used Automatic Identification Systems that contribute to more effective information flow between individual elements of the Supply Chain. This article describes a potential way of integration of technologies AIDC (Automatic Identification and Data Capture) across the Supply Chain. The methodology for the selection of a suitable technological solution is described in a significant part of this article. As a suitable technological solution is understood the selection of proper AIDC technology, their combination respectively, based on pre-defined criteria.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database

  • CEP classification

  • OECD FORD branch

    20205 - Automation and control systems

Result continuities

  • Project

  • Continuities

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Others

  • Publication year

    2019

  • 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 Learning and Change

  • ISSN

    1740-2875

  • e-ISSN

  • Volume of the periodical

    11

  • Issue of the periodical within the volume

    3

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    16

  • Pages from-to

    252-267

  • UT code for WoS article

  • EID of the result in the Scopus database

    2-s2.0-85074584616