Implementation of I4.0 technologies in production systems: opportunities and limits in the digital transformation

被引:9
|
作者
Facchini, Francesco [1 ]
Digiesi, Salvatore [1 ]
Rodrigues Pinto, Luiz Fernando [2 ]
机构
[1] Politech Univ Bari, Via E Orabona 4, I-70126 Bari, Italy
[2] Univ Nove Julho, BR-01504001 Sao Paulo, Brazil
关键词
Industry; 4.0; Digital Transformation; Readiness degree; Maturity Model; Digital process; INDUSTRY; 4.0; READINESS; MATURITY MODEL;
D O I
10.1016/j.procs.2022.01.371
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
According to Industry 4.0 (I4.0) paradigms, the smart factory can be considered as a factory 'connected' adopting digital technologies to share information between people, machines, and sensors. Therefore, digital transformation represents one of the key strategies to integrate digital technology into all business areas, favouring the increase of profit, productivity, and agility of the company. This is not only a technological change but a cultural change requiring organizational, process and economic improvement. Scientific research proved that 84% of digital transformations fail or achieve targets below expectations. Consistent with this issue, companies should address the need to implement a digital process, self-evaluating the readiness level for digital transformation. In this regard, the paper aims to develop a model that evaluates the organisations' readiness to implement digital transformation according to I4.0 targets. For this purpose, the model adopts an online survey of 38 questions to identify the readiness degree according to a five-level scale. The survey was submitted to a sample of companies operating in different sectors. The works' results show the model's reliability to provide the readiness level for digital transformation and allows a preliminary evaluation of the companies' aspects most impactful on digital transformation implementation. (C) 2022 The Authors. Published by Elsevier B.V.
引用
收藏
页码:1705 / 1714
页数:10
相关论文
共 50 条
  • [1] Sustainable Strategic Operations Supported by I4.0 Digital Technologies
    Grudzien, David Iubel de Oliveira Pereira
    Pfutzenreuter, Thais
    Galli, Flaviana
    de Lima, Edson Pinheiro
    Deschamps, Fernando
    da Costa, Sergio Gouvea
    [J]. JOURNAL OF INDUSTRIAL INTEGRATION AND MANAGEMENT-INNOVATION AND ENTREPRENEURSHIP, 2023, 08 (01): : 39 - 64
  • [2] Digital Transformation Models for the I4.0 Transition: Lessons from the Change Management Literature
    Bellantuono, Nicola
    Nuzzi, Angela
    Pontrandolfo, Pierpaolo
    Scozzi, Barbara
    [J]. SUSTAINABILITY, 2021, 13 (23)
  • [3] Assessment of Readiness of Croatian Companies to Introduce I4.0 Technologies
    Hrbic, Rajka
    Grebenar, Tomislav
    [J]. JOURNAL OF RISK AND FINANCIAL MANAGEMENT, 2022, 15 (12)
  • [4] Industry 4.0 readiness: the impact of effective implementation of I4.0 on marketing performance
    Raj, Rohit
    Kumar, Vimal
    Sharma, Nagendra Kumar
    Verma, Pratima
    [J]. JOURNAL OF BUSINESS & INDUSTRIAL MARKETING, 2024,
  • [5] Production's digital transformation analysis using Industry 4.0 technologies
    Novikov, Sergey V.
    Sazonov, Andrey A.
    [J]. AMAZONIA INVESTIGA, 2020, 9 (27): : 234 - 243
  • [6] Software Evolution of I4.0 Digital Twins with Semantic Patching
    Braunisch, Nico
    Heppner, Sebastian
    Garmaev, Igor
    Ristin, Marko
    Miny, Torben
    Kleinert, Tobias
    van de Venn, Hans Wernher
    Wollschlaeger, Martin
    [J]. 2024 33RD INTERNATIONAL SYMPOSIUM ON INDUSTRIAL ELECTRONICS, ISIE 2024, 2024,
  • [7] I4.0 Pilot Project on a Semiconductor Industry: Implementation and Lessons Learned
    Silveira, Gabriel do N.
    Viana, Rafael F.
    Lima, Miromar J.
    Kuhn, Henrique C.
    Crovato, Cesar David P.
    Ferreira, Sandro B.
    Pesenti, Giovani
    Storck, Erick
    Righi, Rodrigo da Rosa
    [J]. SENSORS, 2020, 20 (20) : 1 - 17
  • [8] Digital Transformation of Production Systems Within the Concept "Industry 4.0"
    Tinkov, Sergey
    Babenko, Inna
    Tinkova, Elena
    [J]. VISION 2025: EDUCATION EXCELLENCE AND MANAGEMENT OF INNOVATIONS THROUGH SUSTAINABLE ECONOMIC COMPETITIVE ADVANTAGE, 2019, : 7310 - 7318
  • [9] Exploiting the Full Potential of I4.0 Technologies for Products EOL Recovery Process
    Popolo, Valentina
    Gallo, Mose
    Grassi, Andrea
    Marchesano, Maria Grazia
    [J]. ADVANCES IN PRODUCTION MANAGEMENT SYSTEMS: ARTIFICIAL INTELLIGENCE FOR SUSTAINABLE AND RESILIENT PRODUCTION SYSTEMS (APMS 2021), PT III, 2021, 632 : 307 - 316
  • [10] Intelligent Manufacturing Systems: Self-organization in the I4.0 context
    Veiga, Jackson T.
    Pessoa, Marcosiris A. O.
    Junqueira, Fabricio
    Miyagi, Paulo E.
    dos Santos Filho, Diolino J.
    [J]. 2021 14TH IEEE INTERNATIONAL CONFERENCE ON INDUSTRY APPLICATIONS (INDUSCON), 2021, : 153 - 160