Lavoisier S.A.S.
14 rue de Provigny
94236 Cachan cedex
FRANCE

Heures d'ouverture 08h30-12h30/13h30-17h30
Tél.: +33 (0)1 47 40 67 00
Fax: +33 (0)1 47 40 67 02


Url canonique : www.lavoisier.fr/livre/autre/are-regions-prepared-for-industry-4-0/descriptif_4384998
Url courte ou permalien : www.lavoisier.fr/livre/notice.asp?ouvrage=4384998

0 article 

 Frais de port 0,01€*

Exclusivité web : à partir de 35 euros d’achat, frais de port à 1 centime pour les expéditions vers la France métropolitaine, la Suisse et l’UE avec Colissimo ou GLS

Are Regions Prepared for Industry 4.0?, 1st ed. 2020 The Industry 4.0+ Indicator System for Assessment SpringerBriefs in Entrepreneurship and Innovation Series

Langue : Anglais

Auteurs :

Couverture de l’ouvrage Are Regions Prepared for Industry 4.0?
The concept of industry 4.0 is spreading worldwide and readiness models exist to determine organizational or national maturity. On the other hand, the regional perspective of the digital transformation is yet to be widely researched, although it significantly determines how the concept of industry 4.0  can be introduced to the organisations. This book identifies the regional aspect of industry 4.0  and provides a regional (NUTS 2 classified) industry 4.0 indicator system model that is based on open data sources. This new model serves as a tool to evaluate regional economy to support governmental decisions. It also provides territorial councils with a decision-support tool for field investment decisions. And finally, this model offers investors with a heat map to evaluate regional economies successful implementation of industry 4.0 solutions.
Chapter 1. Introduction.- Chapter 2. Regional aspects of Industry 4.0.- Chapter 3. Measures of regional Industry 4.0 + readiness.- Chapter 4. Evaluation of regional I4.0 readiness - data analysis and composite indicator development.- Chapter 5. Summary.

Janos Abonyi is Full Professor of Computer Science and Chemical Engineering in the Department of Process Engineering at the University of Pannonia (Hungary). Previously, he was employed at the Control Laboratory of the Delft University of Technology (The Netherlands). Dr. Abonyi has co-authored more than 250 journal papers and chapters in books and has published five research monographs and one Hungarian textbook about data mining. His research interests include complexity, process engineering, quality engineering, data mining, and regional development, and Industry 4.0.

Timea Czvetko is a researcher at University of Pannonia (Hungary) with a focus on research and innovation management.

Gergely Honti is a PhD candidate at the Department of Process Engineering at University of Pannonia (Hungary) and researcher at Institute of Advanced Studies, Kőszeg (Hungary). He has been working as a Computer Engineer for 5 years and has been involved in cutting edge technology projects, like Siemens Syngo. His research area is big data and data analysis.

Provides a regional industry 4.0+ indicator system model based on open data

Offers tools to support the evaluation of regional economies

Provides territorial councils and investors with a decision-support tool for field investment decisions

Date de parution :

Ouvrage de 92 p.

15.5x23.5 cm

Disponible chez l'éditeur (délai d'approvisionnement : 15 jours).

52,74 €

Ajouter au panier