Industry 4.0: survey from a system integration perspective

被引:74
作者
Sanchez, Manuel [1 ,2 ,3 ]
Exposito, Ernesto [2 ]
Aguilar, Jose [3 ,4 ]
机构
[1] Univ Nacl Expt Tachira, Informat Engn, San Cristobal, Venezuela
[2] Univ Pau & Pays Adour, E2S UPPA, LIUPPA, Anglet, France
[3] Univ Los Andes, CEMISID, Merida, Venezuela
[4] Univ EAFIT, GIDITIC, Medellin, Colombia
关键词
Industry; 4; 0; integration; interoperability; IoE; 5C; INTERNET; CLOUD; MODEL; THINGS; FUTURE; COORDINATION; ARCHITECTURE; CHALLENGES; MANAGEMENT; NETWORKS;
D O I
10.1080/0951192X.2020.1775295
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In recent years, a revolution named Industry 4.0 has arisen. Industry 4.0 is presented as the integration of new advances in areas such as Cyber-Physical Systems, the Internet of Things and Everything (IoE), Cloud computing, the Internet of Services, Big Data Analysis, Smart Factories, Augmented Reality, among others. Industry 4.0 is not only a new industrial revolution, but also a crucial integration challenge that involves several actors from the IoE, which are people, data, services, and things. This paper proposes an approach to analyze the integration challenges in the context of Industry 4.0 using five integration levels, which are connection, communication, coordination, cooperation, and collaboration (5 C). In that sense, this paper presents a state of the art of recent studies in Industry 4.0 from an integration perspective, categorized according to the 5 C integration levels versus the four actors of IoE. Specifically, this paper considers several works intended to solve problems of autonomic integration in Industry 4.0 at the highest levels of the 5 C integration stack (coordination, cooperation, and collaboration). Also, this paper presents a case study from an integration perspective, which contemplates autonomy, self-organizing, among other aspects, in order to turn a traditional industry into a smart factory regarding the Industry 4.0 concept.
引用
收藏
页码:1017 / 1041
页数:25
相关论文
共 79 条
  • [21] The role of wearable devices in meeting the needs of cloud manufacturing: A case study
    Hao, Yuqiuge
    Helo, Petri
    [J]. ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING, 2017, 45 : 168 - 179
  • [22] Industry 4.0 and the current status as well as future prospects on logistics
    Hofmann, Erik
    Ruesch, Marco
    [J]. COMPUTERS IN INDUSTRY, 2017, 89 : 23 - 34
  • [23] Planning community energy system in the industry 4.0 era: Achievements, challenges and a potential solution
    Huang, Zishuo
    Yu, Hang
    Peng, Zhenwei
    Feng, Yifu
    [J]. RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2017, 78 : 710 - 721
  • [24] Huber A, 2017, ERGEB MATH GRENZGEB, V65, P137, DOI 10.1007/978-3-319-50926-6_7
  • [25] SCHEDULE COORDINATION IN CYBER-PHYSICAL SUPPLY NETWORKS INDUSTRY 4.0
    Ivanov, Dmitry
    Sokolov, Boris
    Ivanova, Marina
    [J]. IFAC PAPERSONLINE, 2016, 49 (12): : 839 - 844
  • [26] Jazdi N, 2014, IEEE INT CONF AUTO
  • [27] Understanding Data Heterogeneity in the Context of Cyber-Physical Systems Integration
    Jirkovsky, Vaclav
    Obitko, Marek
    Marik, Vladimir
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (02) : 660 - 667
  • [28] A Hierarchical structure of key performance indicators for operation management and continuous improvement in production systems
    Kang, Ningxuan
    Zhao, Cong
    Li, Jingshan
    Horst, John A.
    [J]. INTERNATIONAL JOURNAL OF PRODUCTION RESEARCH, 2016, 54 (21) : 6333 - 6350
  • [29] Primary User Detection in Cognitive Radio Networks Through Quickest Detection
    Khan, Muhammad Sajjad
    Koo, Insoo
    [J]. PROCEEDINGS OF 2017 INTERNATIONAL CONFERENCE ON COMMUNICATION, COMPUTING AND DIGITAL SYSTEMS (C-CODE), 2017, : 1 - 5
  • [30] Kipper G., 2012, Augmented reality: An emerging technologies guide to AR