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Designing workforce management systems for industry 4.0: Data-centric and aI-enabled approaches

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Date

2023

Author

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

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Citation

Khang, A., Rani, S., Gujrati, R., Uygun, H., & Gupta, S. (Eds.). (2023). Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches (1st ed.). CRC Press. https://doi.org/10.1201/9781003357070

Abstract

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.

Source

Designing Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approaches

URI

https://doi.org/10.1201/9781003357070
https://hdl.handle.net/11436/8643

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  • Ardeşen Meslek Yüksekokulu Koleksiyonu [58]
  • Scopus İndeksli Yayınlar Koleksiyonu [5931]



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