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
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Czech description
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Classification
Type
J<sub>SC</sub> - Article in a specialist periodical, which is included in the SCOPUS database
CEP classification
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OECD FORD branch
20205 - Automation and control systems
Result continuities
Project
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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
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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
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EID of the result in the Scopus database
2-s2.0-85074584616