Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs

Marcel Sorger; Benjamin James Ralph; Karin Hartl; Manuel Woschank; Martin Stockinger

doi:10.3390/app11199021

Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs

Marcel Sorger, Benjamin James Ralph, Karin Hartl, Manuel Woschank, Martin Stockinger

Publikation: Beitrag in Fachzeitschrift › Artikel › Forschung › Begutachtung

Originalsprache	Englisch
Seiten (von - bis)	9021
Seitenumfang	22
Fachzeitschrift	Applied Sciences : open access journal
Jahrgang	11
Ausgabenummer	19
DOIs	https://doi.org/10.3390/app11199021
Publikationsstatus	Veröffentlicht - Okt. 2021

Bibliographische Notiz

Funding Information:
Funding: This work belongs to the project “SME 4.0—Industry 4.0 for SMEs” (funded in the European Union’s Horizon 2020 R&I programme under the Marie Skłodowska-Curie grant agreement No. 734713).

Funding Information:
This work belongs to the project ?SME 4.0?Industry 4.0 for SMEs? (funded in the European Union?s Horizon 2020 R&I programme under the Marie Sk?odowska-Curie grant agreement No. 734713).

Publisher Copyright:
© 2021 by the authors. Licensee MDPI, Basel, Switzerland.

Zugriff auf Dokument

10.3390/app11199021

Dieses zitieren

@article{b16e53c45c5b4d8aa98163ba67d9e5b8,

title = "Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs",

keywords = "Big Data, Industry 4.0, Cyber-Physical Production System, Industrial Internet of Things, digitalization, RAMI 4.0, digital manufacturing, Digitalization, Digital manufacturing, Industrial internet of things, Cyber-physical production system, Big data",

author = "Marcel Sorger and Ralph, {Benjamin James} and Karin Hartl and Manuel Woschank and Martin Stockinger",

note = "Funding Information: Funding: This work belongs to the project “SME 4.0—Industry 4.0 for SMEs” (funded in the European Union{\textquoteright}s Horizon 2020 R&I programme under the Marie Sk{\l}odowska-Curie grant agreement No. 734713). Funding Information: This work belongs to the project ?SME 4.0?Industry 4.0 for SMEs? (funded in the European Union?s Horizon 2020 R&I programme under the Marie Sk?odowska-Curie grant agreement No. 734713). Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",

year = "2021",

month = oct,

doi = "10.3390/app11199021",

language = "English",

volume = "11",

pages = "9021",

journal = "Applied Sciences : open access journal",

issn = "2076-3417",

publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",

number = "19",

}

TY - JOUR

T1 - Big Data in the Metal Processing Value Chain: A Systematic Digitalization Approach under Special Consideration of Standardization and SMEs

AU - Sorger, Marcel

AU - Ralph, Benjamin James

AU - Hartl, Karin

AU - Woschank, Manuel

AU - Stockinger, Martin

N1 - Funding Information: Funding: This work belongs to the project “SME 4.0—Industry 4.0 for SMEs” (funded in the European Union’s Horizon 2020 R&I programme under the Marie Skłodowska-Curie grant agreement No. 734713). Funding Information: This work belongs to the project ?SME 4.0?Industry 4.0 for SMEs? (funded in the European Union?s Horizon 2020 R&I programme under the Marie Sk?odowska-Curie grant agreement No. 734713). Publisher Copyright: © 2021 by the authors. Licensee MDPI, Basel, Switzerland.

PY - 2021/10

Y1 - 2021/10

KW - Big Data

KW - Industry 4.0

KW - Cyber-Physical Production System

KW - Industrial Internet of Things

KW - digitalization

KW - RAMI 4.0

KW - digital manufacturing

KW - Digitalization

KW - Digital manufacturing

KW - Industrial internet of things

KW - Cyber-physical production system

KW - Big data

U2 - 10.3390/app11199021

DO - 10.3390/app11199021

M3 - Article

SN - 2076-3417

VL - 11

SP - 9021

JO - Applied Sciences : open access journal

JF - Applied Sciences : open access journal

IS - 19

ER -