Designing Workforce Management Systems for Industry 4.0
eBook - ePub

Designing Workforce Management Systems for Industry 4.0

Data-Centric and AI-Enabled Approaches

Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Gupta, Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Kant Gupta

  1. 376 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Designing Workforce Management Systems for Industry 4.0

Data-Centric and AI-Enabled Approaches

Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Gupta, Alex Khang, Sita Rani, Rashmi Gujrati, Hayri Uygun, Shashi Kant Gupta

Book details
Table of contents
Citations

About This Book

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.

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Information

Publisher
CRC Press
Year
2023
ISBN
9781000923360
Edition
1
Topic
Business
Subtopic
Gestione delle risorse umane
Index
Business

Table of contents

  1. Cover Page
  2. Half-Title Page
  3. Title Page
  4. Copyright Page
  5. Contents
  6. List of Figures and Tables
  7. Preface
  8. Acknowledgments
  9. Biography of Editors
  10. List of Contributors
  11. Chapter 1 Workforce Management System: Concepts, Definitions, Principles, and Implementation
  12. Chapter 2 Industry Revolution 4.0: Workforce Competency Models and Designs
  13. Chapter 3 AI Powered Workforce Management in Industry 4.0 Era
  14. Chapter 4 AI-Based Competency Model and Design in the Workforce Development System
  15. Chapter 5 Data: An Anchor for Decision-Making to Build the Future Workforce Management System
  16. Chapter 6 Data Mining Processes and Decision-Making Models in the Personnel Management System
  17. Chapter 7 Data-Driven Application of Human Capital Management Databases, Big Data, and Data Mining
  18. Chapter 8 Data-Centric Predictive Modeling of Turnover Rate and New Hire in Workforce Management System
  19. Chapter 9 Impact of Artificial Intelligence (AI) on Talent Management (TM): A Futuristic Overview
  20. Chapter 10 Data-Driven Artificial Intelligence (AI) Models in the Workforce Development Planning
  21. Chapter 11 Prediction of Employees’ Performance Using Machine Learning (ML) Techniques
  22. Chapter 12 AI-Enabled Approaches and Models for Designing the Workforce through Training Systems for Physically Challenged People
  23. Chapter 13 Relevance Analytics of Work Motivation and Job Satisfaction in the Era of Industry 4.0
  24. Chapter 14 A Bibliometric Analysis on Application of Artificial Intelligence (AI) in Workforce Management
  25. Chapter 15 Leveraging Employee Data to Optimize Overall Performance: Using Workforce Analytics
  26. Chapter 16 Robotic Process Automation (RPA) Applications and Tools for the Workforce Management System
  27. Chapter 17 Exploring the Concept of Managing Women Employees’ Work-Life Balance in Information Technology Company
  28. Chapter 18 Challenges Faced by Marketers in Developing and Managing Contents in Workforce Development System
  29. Chapter 19 Linkages between Critical Success Factors and Factors of Workforce Performance in Remanufacturing Industry
  30. Chapter 20 A Study on the Impact of the Industry 4.0 on the Employees Performance in Banking Sector
  31. Index