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dc.contributor.authorKhang, Alex
dc.contributor.authorRani, Sita
dc.contributor.authorGujrati, Rashmi
dc.contributor.authorUygun, Hayri
dc.contributor.authorGupta, Shashi Kant
dc.date.accessioned2023-11-07T06:46:10Z
dc.date.available2023-11-07T06:46:10Z
dc.date.issued2023en_US
dc.identifier.citationKhang, 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/10.1201/9781003357070en_US
dc.identifier.isbn978-100092334-6
dc.identifier.isbn978-103240824-8
dc.identifier.urihttps://doi.org/10.1201/9781003357070
dc.identifier.urihttps://hdl.handle.net/11436/8643
dc.description.abstractThis 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.en_US
dc.language.isoengen_US
dc.publisherCRC Pressen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.titleDesigning workforce management systems for industry 4.0: Data-centric and aI-enabled approachesen_US
dc.typebooken_US
dc.contributor.departmentRTEÜ, Ardeşen Meslek Yüksekokulu, Otel, Lokanta ve İkram Hizmetleri Bölümüen_US
dc.contributor.institutionauthorUygun, Hayri
dc.identifier.doi10.1201/9781003357070en_US
dc.identifier.startpage1en_US
dc.identifier.endpage351en_US
dc.relation.journalDesigning Workforce Management Systems for Industry 4.0: Data-Centric and AI-Enabled Approachesen_US
dc.relation.publicationcategoryKitap - Uluslararasıen_US


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