Cargando…

Data describing the regional Industry 4.0 readiness index

The data article presents a dataset suitable to measure regional Industry 4.0 (I4.0+) readiness. The I4.0+ dataset includes 101 indicators with 248 958 observations, aggregated to NUTS 2 statistical level) based on open data in the field of education (ETER, Erasmus), science (USPTO, MA-Graph, GRID),...

Descripción completa

Detalles Bibliográficos
Autores principales:	Honti, Gergely, Czvetkó, Tímea, Abonyi, János
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Elsevier 2020
Materias:	Data Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7649474/ https://www.ncbi.nlm.nih.gov/pubmed/33204779 http://dx.doi.org/10.1016/j.dib.2020.106464

Ejemplares similares

Regional development potentials of Industry 4.0: Open data indicators of the Industry 4.0+ model
por: Czvetkó, Tímea, et al.
Publicado: (2021)

Data describing the relationship between world news and sustainable development goals
por: Honti, Gergely, et al.
Publicado: (2021)

The intertwining of world news with Sustainable Development Goals: An effective monitoring tool
por: Czvetkó, Tímea, et al.
Publicado: (2021)

Demonstration Laboratory of Industry 4.0 Retrofitting and Operator 4.0 Solutions: Education towards Industry 5.0
por: Ruppert, Tamás, et al.
Publicado: (2022)

Hypergraph and network flow-based quality function deployment
por: Abonyi, János, et al.
Publicado: (2022)

Editorial: Big Data Management in Industry 4.0
por: Firmani, Donatella, et al.
Publicado: (2021)

Factor analysis, sparse PCA, and Sum of Ranking Differences-based improvements of the Promethee-GAIA multicriteria decision support technique
por: Abonyi, János, et al.
Publicado: (2022)

Enterprise Integration and Interoperability for Big Data-Driven Processes in the Frame of Industry 4.0
por: Bousdekis, Alexandros, et al.
Publicado: (2021)

Network analysis dataset of system dynamics models
por: Honti, Gergely, et al.
Publicado: (2019)

Reskilling and Upskilling the Future-ready Workforce for Industry 4.0 and Beyond
por: Li, Ling
Publicado: (2022)

A Predictive Maintenance Model for Flexible Manufacturing in the Context of Industry 4.0
por: Sang, Go Muan, et al.
Publicado: (2021)

Big Data acquired by Internet of Things-enabled industrial multichannel wireless sensors networks for active monitoring and control in the smart grid Industry 4.0
por: Faheem, Muhammad, et al.
Publicado: (2021)

Industry 4.0
por: André, Jean-Claude
Publicado: (2019)

Assessing the industrial readiness for adoption of industry 4.0 in Nepal: A structural equation model analysis()
por: Rajbhandari, Sharad, et al.
Publicado: (2022)

Industry 4.0 Readiness Calculation—Transitional Strategy Definition by Decision Support Systems
por: Trstenjak, Maja, et al.
Publicado: (2022)

Industry 5.0 or industry 4.0S? Introduction to industry 4.0 and a peek into the prospective industry 5.0 technologies
por: Raja Santhi, Abirami, et al.
Publicado: (2023)

Inducement factor of talent agglomeration in the manufacturing industrial sector: A survey on the readiness of Industry 4.0 adoption
por: Feng, Yanchao
Publicado: (2023)

Reliable Identification Schemes for Asset and Production Tracking in Industry 4.0
por: Frankó, Attila, et al.
Publicado: (2020)

Data Analytics in Industry 4.0: A Survey
por: Duan, Lian, et al.
Publicado: (2021)

Industry 4.0 : managing the digital transformation /
por: Ustundag, Alp, 1977-
Publicado: (2018)

Industry 4.0: the industrial Internet of Things
por: Gilchrist, Alasdair
Publicado: (2016)

Big datasets of optical-wireless cyber-physical systems for optimizing manufacturing services in the internet of things-enabled industry 4.0
por: Faheem, Muhammad, et al.
Publicado: (2022)

Readiness levels of Industry 4.0 technologies applied to aircraft manufacturing—a review, challenges and trends
por: Zutin, Gabriel Consoni, et al.
Publicado: (2022)

Advances in mathematics for industry 4.0
por: Ram, Mangey
Publicado: (2020)

Industry 4.0 and Digitalisation in Healthcare
por: Popov, Vladimir V., et al.
Publicado: (2022)

Polymers and Nanotechnology for Industry 4.0
por: Díez-Pascual, Ana M.
Publicado: (2023)

Industry 5.0: improving humanization and sustainability of Industry 4.0
por: Grabowska, Sandra, et al.
Publicado: (2022)

Industry 4.0 towards Forestry 4.0: Fire Detection Use Case †
por: Sahal, Radhya, et al.
Publicado: (2021)

The International Bathymetric Chart of the Arctic Ocean Version 4.0
por: Jakobsson, Martin, et al.
Publicado: (2020)

Dataset describing problem factors of partnering relationships in the Malaysian construction industry
por: Yao, Eric, et al.
Publicado: (2022)

Learnings from Industry 4.0 for transitioning towards Industry 4.0+: challenges and solutions for Indian pharmaceutical sector
por: Sharma, Mahak, et al.
Publicado: (2023)

Data describing the effect of DRD4 promoter polymorphisms on promoter activity
por: Tei, Shoin, et al.
Publicado: (2016)

Introducing Care 4.0: An Integrated Care Paradigm Built on Industry 4.0 Capabilities
por: Chute, Chaloner, et al.
Publicado: (2019)

Graphene nanoparticles as data generating digital materials in industry 4.0
por: Ali, Muhammad A., et al.
Publicado: (2023)

Computational methods for application in industry 4.0
por: Karkalos, Nikolaos E, et al.
Publicado: (2018)

A Knowledge Graph for Industry 4.0
por: Bader, Sebastian R., et al.
Publicado: (2020)

Patterns for Visual Management in Industry 4.0
por: Fenza, Giuseppe, et al.
Publicado: (2021)

Hospitality Industry 4.0 and Climate Change
por: Ben Youssef, Adel, et al.
Publicado: (2022)

Industry 4.0 in international business research
por: Luo, Yadong, et al.
Publicado: (2023)

The human-centric Industry 5.0 collaboration architecture
por: Tóth, Attila, et al.
Publicado: (2023)

Cannot write session to /tmp/vufind_sessions/sess_egu4gal4qf8jkf5q7hk17stum5