Work place: Laboratory of Computational Methods and Software, Institute of Information and Computational Technologies, 050010, 125 Pushkin Str., Almaty, Republic of Kazakhstan
Research Interests: Computer Networks, Mathematical Software, Mathematical programming
Azat Tashev is a Full Doctor in Technical Sciences, Senior Scientist at the Laboratory of Computational Methods and Software, Institute of Information and Computational Technologies. His research areas are information resources management, system programming in computer networks, mathematical models of networked systems.
DOI: https://doi.org/10.5815/ijmecs.2023.05.02, Pub. Date: 8 Oct. 2023
This article deals with the problem of optimal resources allocation in reference to the area that is currently relevant in the Republic of Kazakhstan, the educational system and management issues in educational organizations in rapidly changing economic and social conditions. A model for the optimal resources’ allocation in the management of business processes that exist in educational organizations has been developed using the example of one of the key business processes. Such research methods as search, survey, Fishbone diagrams and heuristic methods were used. A computational algorithm was developed and the testing results on the suggested example were presented. Comparative analysis shows that the developed computational algorithm based on the application of the linear programming method results in the optimal resources allocation in the considered business process. The analysis of existing methods reveals their limitations, particularly in dealing with dependent operations. The research findings and approaches have practical implications for improving the management system and enhancing the quality of business processes in educational organizations. The algorithms and models developed in this study can be applied not only to solve load distribution issues among teachers but also to address resource allocation problems in other areas of educational institutions.[...] Read more.
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