Critical Components of Industry 5.0 Towards a Successful Adoption in the Field of Manufacturing

被引:120
作者
Javaid, Mohd [1 ]
Haleem, Abid [1 ]
机构
[1] Jamia Millia Islamia, Dept Mech Engn, New Delhi, India
关键词
Capabilities; elements; Industry; 4.0; 5.0; manufacturing; personalization; CYBER-PHYSICAL SYSTEMS; OF-THE-ART; BIG DATA; ARTIFICIAL-INTELLIGENCE; SMART MATERIALS; CONCEPTUAL-MODEL; ADAPTIVE SYSTEMS; DECISION-MAKING; VIRTUAL-REALITY; INTERNET;
D O I
10.1142/S2424862220500141
中图分类号
C93 [管理学];
学科分类号
12 ; 1201 ; 1202 ; 120202 ;
摘要
The fifth industrial revolution is known as Industry 5.0 and is being evolved to focus on the personalized demand of customers. This industrial revolution is required to provide better interaction among humans and machines to achieve effective and faster outcomes. It provides a new era of personalization and solves complex problems. Digital technologies provide a new paradigm in manufacturing and eliminate repetitive jobs. It applies human intelligence to understand the requirement of a human operator. The data in manufacturing can be analyzed using machine learning and artificial intelligence (AI). This paper discusses the development of all industrial revolutions and differentiates between Industry 4.0 and Industry 5.0. Further, it identifies the significant elements and capabilities of Industry 5.0 in the manufacturing field. This paper finally identifies 17 critical components of Industry 5.0 and discusses them briefly. Intelligent machines used in this revolution are efficiently used to solve real problems. It provides higher accuracy and speeds up the industrial automation with the help of critical thinking of human resources. Industry 5.0 provides computing power to the industry, which is to facilitate the digital manufacturing systems that are built to communicate with other systems. Thus, with mass personalization, there is customer delight with higher value addition through Industry 5.0.
引用
收藏
页码:327 / 348
页数:22
相关论文
共 148 条
  • [1] Industry 4.0 and Health: Internet of Things, Big Data, and Cloud Computing for Healthcare 4.0
    Aceto, Giuseppe
    Persico, Valerio
    Pescape, Antonio
    [J]. JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION, 2020, 18
  • [2] Ahmed Waqar, 2017, Library Hi Tech News, V34, P21, DOI 10.1108/LHTN-05-2017-0035
  • [3] Towards Chinese smart manufacturing ecosystem in the context of the one belt one road initiative
    Al-Sayed, Rafif
    Yang, Jianhua
    [J]. JOURNAL OF SCIENCE AND TECHNOLOGY POLICY MANAGEMENT, 2020, 11 (03) : 291 - 310
  • [4] 3D printing: a critical review of current development and future prospects
    Ali, Md. Hazrat
    Batai, Shaheidula
    Sarbassov, Dastan
    [J]. RAPID PROTOTYPING JOURNAL, 2019, 25 (06) : 1108 - 1126
  • [5] Alireza J., 2015, STRATEGIC OUTSOURCIN, V8, P180, DOI DOI 10.1108/S0-01-2015-0003
  • [6] Structural mapping of public distribution system using multi-agent systems
    Ambekar, Sudhir
    Kapoor, Rohit
    Mehta, Peeyush
    [J]. BUSINESS PROCESS MANAGEMENT JOURNAL, 2015, 21 (05) : 1066 - 1090
  • [7] [Anonymous], 2005, J INF COMMUN ETHICS, DOI DOI 10.1108/14779960580000275
  • [8] A survey on recent research in business intelligence
    Aruldoss, Martin
    Travis, Miranda Lakshmi
    Venkatesan, V. Prasanna
    [J]. JOURNAL OF ENTERPRISE INFORMATION MANAGEMENT, 2014, 27 (06) : 831 - +
  • [9] Wireless sensor networks for structure health monitoring: recent advances and future research directions
    Aygun, Bengi
    Gungor, Vehbi Cagri
    [J]. SENSOR REVIEW, 2011, 31 (03) : 261 - 276
  • [10] A full comparison study of service discovery approaches for internet of things
    Aziez, Meriem
    Benharzallah, Saber
    Bennoui, Hammadi
    [J]. INTERNATIONAL JOURNAL OF PERVASIVE COMPUTING AND COMMUNICATIONS, 2019, 15 (01) : 30 - 56