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Advancing manufacturing systems with big-data analytics : a conceptual framework
ID
Kozjek, Dominik
(
Avtor
),
ID
Vrabič, Rok
(
Avtor
),
ID
Rihtaršič, Borut
(
Avtor
),
ID
Lavrač, Nada
(
Avtor
),
ID
Butala, Peter
(
Avtor
)
PDF - Predstavitvena datoteka,
prenos
(2,38 MB)
MD5: 4E43C0CF3F99773F4AC6EA54AF070077
URL - Izvorni URL, za dostop obiščite
https://www.tandfonline.com/doi/full/10.1080/0951192X.2020.1718765
Galerija slik
Izvleček
With the intensive development and implementation of information and communication technologies in manufacturing, large amounts of heterogeneous data are now being generated, gathered and stored. Handling large amounts of complex data – often referred to as big data – represents a challenge as there are many new approaches, methods, techniques, and tools for data analytics that open up new possibilities for exploiting data by converting them into useful information and/or knowledge. However, the application of advanced data analytics in manufacturing lags behind in terms of penetration and diversity in comparison with other domains such as marketing, healthcare and business, meaning that the available data often remain unexploited. This paper proposes a new conceptual framework for systematically introducing big-data analytics into manufacturing systems. To this end, the paper defines a new stepwise procedure that identifies what knowledge and skills, and which reference models, software and hardware tools, are needed for the development, implementation and operation of data-analytics solutions in manufacturing systems. The feasibility of the proposed conceptual framework is demonstrated in a case study from an engineer-to-order company and by mapping the framework to several previous data-analytics projects.
Jezik:
Angleški jezik
Ključne besede:
manufacturing systems
,
data analytics
,
big data
,
conceptual framework
Vrsta gradiva:
Članek v reviji
Tipologija:
1.01 - Izvirni znanstveni članek
Organizacija:
FS - Fakulteta za strojništvo
Status publikacije:
Objavljeno
Različica publikacije:
Objavljena publikacija
Leto izida:
2020
Št. strani:
Str. 169-188
Številčenje:
Vol. 33, no. 2
PID:
20.500.12556/RUL-147466
UDK:
658.5(045)
ISSN pri članku:
0951-192X
DOI:
10.1080/0951192X.2020.1718765
COBISS.SI-ID:
17034523
Datum objave v RUL:
05.07.2023
Število ogledov:
482
Število prenosov:
53
Metapodatki:
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Objavi na:
Gradivo je del revije
Naslov:
International journal of computer integrated manufacturing
Skrajšan naslov:
Int. j. comput. integr. manuf.
Založnik:
Taylor & Francis
ISSN:
0951-192X
COBISS.SI-ID:
167451
Licence
Licenca:
CC BY-NC-ND 4.0, Creative Commons Priznanje avtorstva-Nekomercialno-Brez predelav 4.0 Mednarodna
Povezava:
http://creativecommons.org/licenses/by-nc-nd/4.0/deed.sl
Opis:
Najbolj omejujoča licenca Creative Commons. Uporabniki lahko prenesejo in delijo delo v nekomercialne namene in ga ne smejo uporabiti za nobene druge namene.
Sekundarni jezik
Jezik:
Slovenski jezik
Ključne besede:
proizvodni sistemi
,
podatkovna analitika
,
velepodatki
,
konceptualni okvir
Projekti
Financer:
Drugi - Drug financer ali več financerjev
Program financ.:
Republic of Slovenia, Ministry of Higher Education, Science and Technology
Številka projekta:
1000-15-0510
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0103
Naslov:
Tehnologije znanja
Financer:
ARRS - Agencija za raziskovalno dejavnost Republike Slovenije
Številka projekta:
P2-0270
Naslov:
Proizvodni sistemi, laserske tehnologije in spajanje materialov
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