Introducing Identification Technology in Manufacturing Companies and Their Impact on Business Economics

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989592%3A15210%2F17%3A73580783" target="_blank" >RIV/61989592:15210/17:73580783 - isvavai.cz</a>

Výsledek na webu

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DOI - Digital Object Identifier

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Jazyk výsledku

angličtina

Název v původním jazyce

Introducing Identification Technology in Manufacturing Companies and Their Impact on Business Economics

Popis výsledku v původním jazyce

Automatic identification (AI) is a new type of communication, which uses passive components through the logistics chain for marking, transmission and automatically identifying information with these related elements. Product identification in manufacturing firms is helping to specify what material is a composite product, who the supplier or other properties of the product. Identification of the product also prevents the possible confusion. The product could be included in the information flow have to be alert for its movement (income, output, transfer). One of the most effective ways of acquiring data becomes the use of automatic identification. Bar codes are the cheapest and most common way labeling passive elements and allowing automatic identification on optical principle. Using of the bar code is secured transfer of data to a superior computing system. The aim of this article is to determine how much engineering manufacturing companies in The Czech Republic uses identification technology in the manufacture and design methodology for introducing identification technology into the manufacturing process for the synthesis of acquired secondary and primary data. It will thus provide a simple and easily applicable methodology that can be easily used manufacturing companies that are still not benefiting identification technology. In selected manufacturing companies the production process will be examined, with and without the use of identification technology. On the basis of this examination, the introduction of these technologies into production with an impact in business economics and cost savings will be analyzed.

Název v anglickém jazyce

Introducing Identification Technology in Manufacturing Companies and Their Impact on Business Economics

Popis výsledku anglicky

Automatic identification (AI) is a new type of communication, which uses passive components through the logistics chain for marking, transmission and automatically identifying information with these related elements. Product identification in manufacturing firms is helping to specify what material is a composite product, who the supplier or other properties of the product. Identification of the product also prevents the possible confusion. The product could be included in the information flow have to be alert for its movement (income, output, transfer). One of the most effective ways of acquiring data becomes the use of automatic identification. Bar codes are the cheapest and most common way labeling passive elements and allowing automatic identification on optical principle. Using of the bar code is secured transfer of data to a superior computing system. The aim of this article is to determine how much engineering manufacturing companies in The Czech Republic uses identification technology in the manufacture and design methodology for introducing identification technology into the manufacturing process for the synthesis of acquired secondary and primary data. It will thus provide a simple and easily applicable methodology that can be easily used manufacturing companies that are still not benefiting identification technology. In selected manufacturing companies the production process will be examined, with and without the use of identification technology. On the basis of this examination, the introduction of these technologies into production with an impact in business economics and cost savings will be analyzed.

Druh

J_ost - Ostatní články v recenzovaných periodicích

CEP obor

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OECD FORD obor

50202 - Applied Economics, Econometrics

Projekt

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Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2017

Kód důvěrnosti údajů

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

Název periodika

Global Economic Observer

ISSN

2343-9742

e-ISSN

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Svazek periodika

5

Číslo periodika v rámci svazku

1

Stát vydavatele periodika

RO - Rumunsko

Počet stran výsledku

8

Strana od-do

193-200

Kód UT WoS článku

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EID výsledku v databázi Scopus

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