Big data systems requirements for Industry 4.0

被引：0
|
作者：
Coda, Felipe A. [1 ]
de Salles, Rafael M. [1 ]
Junqueira, Fabricio [1 ]
Santos Filho, Diolino J. [1 ]
Silva, Jose R. [1 ]
Miyagi, Paulo E. [1 ]
机构：
[1] Univ Sao Paulo, Escola Politecn, Sao Paulo, Brazil
来源：
2018 13TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON) | 2018年
基金：
巴西圣保罗研究基金会;
关键词：
Industry; 4.0; big data; internet of things; requirements engineering; process modeling;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The increase in the capacity to acquire and analyze a mass of data characterized as "big data" is an opportunity to review the paradigms of productive systems. Especially when considering the Industry 4.0 where it is expected an autonomous and high level of interaction among machines, connecting Cyber-Physical Systems (CPS) through the Internet of Things, and it is necessary to explore data generated in this interaction to improve all aspects of the production process. Therefore, the purpose of this paper is to characterize requirements for the big data systems in Industry 4.0, based on viewpoints, objectives and expectations of stakeholders for its uses.
引用
下载
收藏
页码：1230 / 1236
页数：7
相关论文
共 50 条
  • [31] Service innovation and smart analytics for Industry 4.0 and big data environment
    Lee, Jay
    Kao, Hung-An
    Yang, Shanhu
    PRODUCT SERVICES SYSTEMS AND VALUE CREATION: PROCEEDINGS OF THE 6TH CIRP CONFERENCE ON INDUSTRIAL PRODUCT-SERVICE SYSTEMS, 2014, 16 : 3 - 8
  • [32] A Big Data system supporting Bosch Braga Industry 4.0 strategy
    Santos, Maribel Yasmina
    Oliveira e Sa, Jorge
    Andrade, Carina
    Lima, Francisca Vale
    Costa, Eduarda
    Costa, Carlos
    Martinho, Bruno
    Galvao, Joao
    INTERNATIONAL JOURNAL OF INFORMATION MANAGEMENT, 2017, 37 (06) : 750 - 760
  • [33] Artificial intelligence, big data, algorithms and Industry 4.0 in firms and clusters
    Lazzeretti, Luciana
    Domenech, Rafael Boix
    Hervas-Oliver, Jose-Luis
    Innocenti, Niccolo
    EUROPEAN PLANNING STUDIES, 2023, 31 (07) : 1297 - 1303
  • [34] A Systematic Review of Big Data Analytics for Oil and Gas Industry 4.0
    Trung Nguyen
    Gosine, Raymond G.
    Warrian, Peter
    IEEE ACCESS, 2020, 8 : 61183 - 61201
  • [35] ADAPTING WAREHOUSE MANAGEMENT SYSTEMS TO THE REQUIREMENTS OF THE EVOLVING ERA OF INDUSTRY 4.0
    Alias, Cyril
    Salewski, Udo
    Ruiz, Viviana Elizabeth Ortiz
    Alarcon, Frank Eduardo
    Neirao Reymao, Jose do Egypto
    Noche, Bernd
    PROCEEDINGS OF THE ASME 12TH INTERNATIONAL MANUFACTURING SCIENCE AND ENGINEERING CONFERENCE - 2017, VOL 3, 2017,
  • [36] Systems evaluation methodology to attend the digital projects requirements for industry 4.0
    Ramos, Luiz
    Loures, Eduardo
    Deschamps, Fernando
    Venancio, Andre
    INTERNATIONAL JOURNAL OF COMPUTER INTEGRATED MANUFACTURING, 2020, 33 (04) : 398 - 410
  • [37] Big Data for Healthcare Industry 4.0: Applications, challenges and future perspectives
    Karatas, Mumtaz
    Eriskin, Levent
    Deveci, Muhammet
    Pamucar, Dragan
    Garg, Harish
    EXPERT SYSTEMS WITH APPLICATIONS, 2022, 200
  • [38] AN INVESTIGATION OF INDUSTRY 4.0 SKILLS REQUIREMENTS
    Maisiri, W.
    Darwish, H.
    van Dyk, L.
    SOUTH AFRICAN JOURNAL OF INDUSTRIAL ENGINEERING, 2019, 30 (03) : 90 - 105
  • [39] Wireless requirements and challenges in Industry 4.0
    Varghese, Anitha
    Tandur, Deepaknath
    2014 INTERNATIONAL CONFERENCE ON CONTEMPORARY COMPUTING AND INFORMATICS (IC3I), 2014, : 634 - 638
  • [40] An integrated storage method of Industry 4.0 processing data based on big data mining
    Luo X.
    Liu J.
    International Journal of Manufacturing Technology and Management, 2023, 37 (02) : 115 - 125
12345