Artificial intelligence based on ontology to support decision-making in personnel management

V. S. Dadykin; V. A. Khvostov; R. V. Kamozin

doi:10.1117/12.2631305

17 May 2022 Artificial intelligence based on ontology to support decision-making in personnel management

V. S. Dadykin, V. A. Khvostov, R. V. Kamozin

Proceedings Volume 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021); 122510M (2022) https://doi.org/10.1117/12.2631305
Event: Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 2021, Dushanbe, Tajikistan

Abstract

Suggestions on the application of an ontological approach to personnel management are provided. Notably, two criteria are used as an assessment of workforce capacity: on the one hand, it is a possibility of successful life cycle maintainability of products and services due to the skills of personnel performing all necessary labor actions, and on the other hand, personnel meeting qualifying requirements of the occupational standards.If the first is mainly aimed at performing the technological operations currently existing at the enterprise, then the second, based on the knowledge and skills of the staff, intended for the development of technology, improving the reliability and efficiency of products and services.Using the example of personnel providing the life processes of automation systems for technological processes of the main industrial pumping, the structure of the ontology is proposed, where besides activities of doing some or other of life-cycle phases, the occupational standard requirementsof personnel are included.Based on expert assessments regarding each of therequirements for either life cycling, or providing knowledge and skills, the solution of certain personnel management tasks is secured.On the basis of cluster evaluations, a career development system and a career broadening program are built, while on the basis of individual assessments, candidates pool for promotion and transfer to senior position is determined.

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V. S. Dadykin, V. A. Khvostov, and R. V. Kamozin "Artificial intelligence based on ontology to support decision-making in personnel management", Proc. SPIE 12251, Computer Applications for Management and Sustainable Development of Production and Industry (CMSD2021), 122510M (17 May 2022); https://doi.org/10.1117/12.2631305

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KEYWORDS

Standards development

Artificial intelligence

Process control

Control systems

Human-machine interfaces

Information technology

Manufacturing

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