Challenges for automatic identification systems in the supply chain
by Roman Hruska; Libor Svadlenka; Petra Jurankova
International Journal of Learning and Change (IJLC), Vol. 11, No. 3, 2019

Abstract: 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 automatic identification and data capture (AIDC) 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.

Online publication date: Mon, 04-Nov-2019

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Learning and Change (IJLC):
Login with your Inderscience username and password:

Username:        Password:          Forgotten your password?

Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com