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fachmedien.de - spezialisierte Fachinformationen für Studium und Beruf
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Khang / Rani / Gujrati

Designing Workforce Management Systems for Industry 4.0

Data-Centric and AI-Enabled Approaches

Medium: Buch
ISBN: 978-1-032-41265-8
Verlag: Taylor & Francis Ltd (Sales)
Erscheinungstermin: 06.05.2025
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This book brings insight to the HR management system and offers data-centric approaches and AI-enabled applications for the design and implementation strategies used for workforce development and management.

Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches focuses on the mechanisms of proposing solutions along with architectural concepts, design principles, smart solutions, and intelligent predictions with visualization simulation. Data visualization for the metrics of management systems and robotic process automation applications and tools are also offered.

This book is also useful as a reference for those involved in AI-enabled applications, data analytics, data visualization, as well as systems engineering and systems designing.

Produkteigenschaften

  • Artikelnummer: 9781032412658
  • Medium: Buch
  • ISBN: 978-1-032-41265-8
  • Verlag: Taylor & Francis Ltd (Sales)
  • Erscheinungstermin: 06.05.2025
  • Sprache(n): Englisch
  • Auflage: 1. Auflage 2025
  • Produktform: Kartoniert
  • Gewicht: 526 g
  • Seiten: 376
  • Format (B x H x T): 156 x 234 x 20 mm
  • Ausgabetyp: Kein, Unbekannt

Themen

Autoren/Hrsg.

Herausgeber

1. Workforce Management System: Concepts, Definitions, Principles, and Implementation. 2. Industry Revolution 4.0: Workforce Competency Models and Designs. 3. AI Powered Workforce Management in Industry 4.0 Era. 4. AI-based Competency Model and Design in the Workforce Development System. 5. Data: An Anchor for Decision Making to Build the Future Workforce Management System. 6. Data Mining Processes and Decision-Making Models in Personnel Management System. 7. Data-driven Application of Human Capital Management Databases, Big Data, and Data Mining. 8. ata-centric Predictive Modelling of Turnover Rate and New Hire in Workforce Management System. 9. Impact of Artificial Intelligence (AI) on Talent Management (TM): A Futuristic Overview. 10. Data-driven Artificial intelligence (AI) Models in the Workforce Development Planning. 11. Prediction of Employee’s Performance Using Machine Learning (ML) Techniques. 12. AI-enabled Approaches and Models for Designing Workforce through Training Systems for Physically Challenged People. 13. Relevance Analytics of Work Motivation and Job Satisfaction in the era of Industry 4.0. 14. A Bibliometric Analysis on Application of Artificial Intelligence (AI) in Workforce Management. 15. Leveraging Employee Data to Optimize Overall Performance - Using Workforce Analytics. 16. Robotic Process Automation (RPA) Applications and Tools for Workforce Management System. 17. Exploring the Concept of Managing Women Employees Work Life Balance in Information Technology Company. 18. Challenges Faced by Marketers in Developing and Managing Contents in Workforce Development System. 19. Linkages between Critical Success Factors and Factors of Workforce Performance in Remanufacturing Industry. 20. A Study on the Impact of the Industry 4.0 on the Employees Performance in Banking Sector.