Towards a Systematic Review on Industry 4.0: Big data & Internet of things

Autor: Assia Bilad, Mounia Zaim, Faical Zaim
Rok vydání: 2022
Zdroj: ITM Web of Conferences. 46:03004
ISSN: 2271-2097
DOI: 10.1051/itmconf/20224603004
Popis: Digital technologies are occupying more and more a very important place in the industry, and more precisely with the 4th industrial revolution or what is called industry 4.0. In addition, digital transformation requires the implementation of two tools: Big data and the Internet of Things as the two starting tools, which continue to evolve gradually. Intending to explore on this area, this paper studies the literature to get a detailed understanding of Industry 4.0, as well as an overview of the two digitization tools namely big data and the Internet of Things used to improve the quality of processes in different areas. Through a systematic literature review (SLR), the study is an effort to provide an overview of existing big data and the Internet of Things in the literature and to study the existing studies to classify them by application domain and according to a developed architectural framework. The search identified 81 relevant articles. Analyses of the distribution of articles by publication year, domain, country, type, tool, and source are presented and discussed. A research agenda for future research are provided.
Databáze: OpenAIRE