Data Analytics and ML for Optimized Performance in Industry 4.0
- Title
- Data Analytics and ML for Optimized Performance in Industry 4.0
- Creator
- Daya Sagar K.V.; Ramachandran K.K.; Acharjee P.B.; Singh P.; Satyala H.; Singh B.
- Description
- Industry 4.0, the fourth industrial revolution, has revolutionized manufacturing and production systems by integrating Data Analytics (DA) and Machine Learning (ML) techniques. Predictive maintenance, which predicts equipment malfunctions and schedules maintenance in advance, is a crucial application of DA and ML within Industry 4.0. It reduces downtime, improves productivity, and lowers costs. Demand forecasting, which uses historical data and ML algorithms to predict future product demand, and anomaly detection, which identifies abnormal patterns or events within large datasets, are also critical applications of DA and ML in Industry 4.0. They enhance operational efficiency and reduce costs. However, the adoption of DA and ML presents several challenges for organizations, including infrastructure, personnel, ethical, and privacy concerns. To realize the benefits of DA and ML, companies must invest in appropriate hardware and software and develop the necessary expertise. They must also handle data responsibly and transparently to ensure privacy and ethical standards. Despite these challenges, the integration of DA and ML in Industry 4.0 is critical for optimized performance, improved productivity, and cost savings. 2024 selection and editorial matter, Nidhi Sindhwani, Rohit Anand, A. Shaji George and Digvijay Pandey; individual chapters, the contributors.
- Source
- Robotics and Automation in Industry 4.0: Smart Industries and Intelligent Technologies, Vol-45689, pp. 275-287.
- Date
- 2024-01-01
- Publisher
- CRC Press
- Coverage
- Daya Sagar K.V., Department of Electronics and Computer Engineering, Koneru Lakshmaiah Education Foundation, Guntur, India; Ramachandran K.K., Department of ManagementCommerce/International Business, Dr. G R D College of Science, Coimbatore, India; Acharjee P.B., Christ University, Pune, India; Singh P., Department of CSE Guru Ghasidas Vishwavidyalaya, Bilaspur, India; Satyala H., Department of Operation Management, Indian Institute of Management, Ranchi, India; Singh B., Department of Food Science and Technology, IK Gujral Punjab Technical University, Punjab, India
- Rights
- Restricted Access
- Relation
- ISBN: 978-100383735-0; 978-103232943-7
- Format
- Online
- Language
- English
- Type
- Book chapter
Collection
Citation
Daya Sagar K.V.; Ramachandran K.K.; Acharjee P.B.; Singh P.; Satyala H.; Singh B., “Data Analytics and ML for Optimized Performance in Industry 4.0,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 23, 2025, https://archives.christuniversity.in/items/show/18103.