Article Open Access http://dx.doi.org/10.26855/acc.2024.10.006
Industry 4.0: Manufacturing Informatics-driven Innovation
Wanting Bai1,*, Yubin Zhao2
1Faculty of Social Sciences and Law, University of Bristol, Bristol BS8 1QU, UK.
2Department of Mechanical Engineering, University of Bath, Bath BA2 7AY, UK.
*Corresponding author: Wanting Bai
Published: November 11,2024
Abstract
This article introduces the background, core technologies, and future challenges of Industry 4.0. Unlike previous industrial revolutions, Industry 4.0 relies on emerging technologies such as the Internet of Things (IoT), Big Data, and Artificial Intelligence (AI) to drive intelligent and sustainable development in manufacturing. Major global powers like Germany, the United States, and the United Kingdom have proposed relevant strategies aimed at accelerating the digital transformation of manufacturing industries. The article emphasizes the critical role of Manufacturing Informatics in achieving Industry 4.0, as it integrates computer science and engineering to enhance management efficiency and resource conservation in companies. Furthermore, the article explores various challenges posed by Industry 4.0, including sustainable development, high costs, and employment concerns. Despite these challenges, the advancement of Industry 4.0 remains inevitable. In the future, as Manufacturing Informatics continues to evolve, Industry 4.0 is expected to drive more efficient and intelligent production models, leading to new technological breakthroughs and the creation of more job opportunities. The article also forecasts the potential arrival of Industry 5.0, where manufacturing may increasingly focus on human value and social responsibility.
References
[1] Lee C, Lim C. From technological development to social advance: A review of. Industry 4.0 through machine learning. Technological Forecasting and Social Change. 2021;167:120653.
[2] Sader S, Husti I, Daróczi M. Industry 4.0 as a key enabler toward successful implementation of Total Quality Management Practices. Periodica Polytechnica Social and Management Sciences. 2019;27(2):131-140. doi:10.3311/ppso.12675.
[3] Chiarini A, Kumar M. Lean six sigma and Industry 4.0 integration for operational excellence: Evidence from Italian Manufacturing Companies. Production Planning & Control. 2020;32(13):1084-1101. doi:10.1080/09537287.2020.1784485.
[4] Marta@bostnan.com, M. New German call on industry 4.0, SMART. 2022. Available from: https://www.smarteureka.com/news-events/new-german-call-on-industry-4-0/ (Accessed: 29 September 2024).
[5] Machado CG, Winroth MP, Ribeiro da Silva EHD. Sustainable. manufacturing in Industry 4.0: an emerging research agenda. International Journal of Production Research. 2020;58(5):1462-1484.
[6] Chouchene A, et al. Artificial Intelligence for product quality inspection toward Smart Industries: Quality Control of vehicle non-conformities. 2020 9th International Conference on Industrial Technology and Management (ICITM) [Preprint].
doi:10.1109/icitm48982.2020.9080396.
[7] Hahn GJ. Supply Chain Views from an industry 4.0 perspective. Connected Innovation and Technology X.0 1. 2024; pp. 1-17.
doi:10.1002/9781394306442.ch1.
How to cite this paper
Industry 4.0: Manufacturing Informatics-driven Innovation
How to cite this paper: Wanting Bai, Yubin Zhao. (2024) Industry 4.0: Manufacturing Informatics-driven Innovation. Advances in Computer and Communication, 5(4), 233-236.
DOI: http://dx.doi.org/10.26855/acc.2024.10.006