Author:
Sindhu V.,Anitha G.,Geetha R.
Abstract
Abstract
The assembling ventures are presently changing from large scale manufacturing to redid creation. The quick headways in assembling advances and applications in the ventures help in expanding efficiency and increased flexibility for smooth production. Industry 4.0 is the new term coined by the German Scientist and it is the most needed upgrading strategy for the present industrial revolution. It caters the need for the on demand technology where the sectors like 3D printing, Big data, block model, Artificial Intelligence, Machine learning with Internet of things play a big role in all the industrial areas today. Today need like on demand delivery can be achieved through this 4.0 standard thereby making high revenue for the organization’s business and customers as well. This paper insists the need for all the industries to upgrade themselves to adopt the Industry standard 4.0. It includes a deep survey on the industry 4.0standard and it significance in different disciplines of technology. It gives an opportunity and the viable scope for the industries to move forward and take their business a head following the practices in this standard. Thus this paper proposes a new business model which will give a phenomenal scope in the above said verticals.
Subject
General Physics and Astronomy
Reference15 articles.
1. DEVELOPMENT OF A POTENTIAL MODEL TO SUPPORT THE ASSESSMENT AND INTRODUCTION OF INDUSTRY 4.0 TECHNOLOGIES;Schneider
2. Industry 4.0 innovation ecosystems: An evolutionary perspective on value cocreation;Benitez;International Journal of Production Economics,2020
3. The evolution of man–machine interaction:The role of human in Industry 4.0 paradigm;Nardo;Production & Manufacturing Research,2020
4. Industry 4.0: state of the art and future trends;Xu;International Journal of Production Research,2018
5. Reskilling the Library Workforce for the Fourth Industrial Revolution;Nwaohiri;Examining the Impact of Industry 4.0 on Academic Libraries,2021
Cited by
4 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Data Science in the Employee Recruitment Process;Advances in Logistics, Operations, and Management Science;2024-02-23
2. IT Trends: A Literature Review;2023 Congreso Internacional de Innovación y Tendencias en Ingeniería (CONIITI);2023-10-04
3. Utilizing Quantitative Data Science Salary Analysis to Predict Job Salaries;2022 2nd International Conference on Innovative Sustainable Computational Technologies (CISCT);2022-12-23
4. Fog based Edge Learning using IoT: Concepts, Challenges and Applications;2022 4th International Conference on Smart Systems and Inventive Technology (ICSSIT);2022-01-20