@inproceedings{ba8d70e03d0e4ae39510b6ba91e6d382,
title = "Digital HRM Model for Process Optimization by Adoption of Industry 4.0 Technologies",
abstract = "The 4th Industrial Revolution, the digitalisation of industry, is transforming the operation of industries; automated, autonomous and decentralised. This transformation is changing the roles and responsibilities of personnel, requiring transformation of Human Resource Management (HRM) functionalities. A digital model of all HRM activities is created by simulation of HRM business process models. Business process models graphically detail the steps for execution of all HRM activities from recruitment and development of employees to conflict resolution. To align to the need of digitalisation, the digital HRM model is developed into a HRM optimisation model that analyses the impacts of application of Industry 4.0 technologies. The model identifies the applicable Industry 4.0 technologies for each of the HRM business activities and evaluates the personnel time requirements, energy demand and carbon dioxide emissions of each technology or technology mix towards identification of the optimum business activity execution methodology. The results of the model provides essential information for selection of the business activity for reengineering towards digitalisation and the appropriate Industry 4.0 technology for application for optimum business results.",
keywords = "Human resource management, Industry 4.0, digitalization, energy optimization",
author = "M. Munsamy and A. Telukdarie",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019 ; Conference date: 15-12-2019 Through 18-12-2019",
year = "2019",
month = dec,
doi = "10.1109/IEEM44572.2019.8978726",
language = "English",
series = "IEEE International Conference on Industrial Engineering and Engineering Management",
publisher = "IEEE Computer Society",
pages = "374--378",
booktitle = "2019 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2019",
address = "United States",
}
