Transforming Industry 5.0: Real Time Monitoring and Decision Making with IIOT
- Title
- Transforming Industry 5.0: Real Time Monitoring and Decision Making with IIOT
- Creator
- Arputharaj J.V.; Pal S.K.
- Description
- This chapter explores the transformative potential of Industry 5.0 by leveraging real-time monitoring and decision-making capabilities through the use of IIoT dashboards. It extends in examining how IIoT dashboards enable organizations to gain real-time insights into their operations, facilitating data-driven decision-making and improving overall efficiency. By embracing IIoT dashboards, businesses can effectively transform Industry 5.0, unlocking new levels of productivity, agility, and competitiveness. In this chapter, important challenges such as data integration, data security, scalability, and user experience are identified. It highlights key considerations for implementing IIoT dashboards and offers practical methods for successful adoption of this technology. Remarkable achievements in implementing this technology include applications such as crude oil production with IIoT and edge computing, as well as IIoT-enabled smart agriculture dashboards. Adopting IIoT dashboards may involve initial costs, but they offer long-term benefits and cost-effectiveness, particularly in the era of Industry 5.0 transformation. 2024 selection and editorial matter, C Kishor Kumar Reddy, P R Anisha, Samiya Khan, Marlia Mohd Hanafiah, Lavanya Pamulaparty and R Madana Mohana.
- Source
- Sustainability in Industry 5.0: Theory and Applications, pp. 76-106.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Arputharaj J.V., Department of Computer Science, CHRIST (Deemed to be University), Bangalore, India; Pal S.K., Department of Biological Sciences, Skyline University, Kano, Nigeria
- Rights
- Restricted Access
- Relation
- ISBN: 978-100384516-4; 978-103258201-6
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Arputharaj J.V.; Pal S.K., “Transforming Industry 5.0: Real Time Monitoring and Decision Making with IIOT,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18132.