MODELLING THE DISTRIBUTION AND AGGREGATION OF DUTIES IN AN ORGANIZATION WITH A COMPLEX HIERARCHICAL STRUCTURE
The article presents the results of developing functional requirements for one of the key components of an automated information system for duty scheduling — the «Duty Distribution and Aggregation» module. The relevance of the study stems from the need to optimize the duty distribution process and reduce the labor intensity of routine procedures and administrative tasks. The paper describes the functions of preparing electronic documents, retrieving data on planned duties, distributing duties among departments and employees, generating schedules, and others. Based on the developed requirements, a model of the architecture of an automated duty scheduling information system has been built. This article focuses on the key subsystem, whose functionality involves distributing duties among the organization’s departments and aggregating duties to generate a unified schedule. The scientific novelty of the work lies in the systematization of requirements for the system’s functional capabilities and algorithms for automated duty distribution, taking into account the specific characteristics of military educational institutions. The approach takes into account staff qualifications, availability during the planning period, and the organization’s established constraints and requirements. The practical significance of the research consists in creating a foundation for developing an effective duty management tool that automates routine operations and enhances the objectivity of decision‑making. The research results can be applied in the development of similar systems for other organizations requiring automation of task and work planning and distribution processes.
Korolenko M.R., Vetokhina V.A., Igrunova S.V., Korolenko V.V. Modelling the Distribution and Aggregation of Duties in an Organization with a Complex Hierarchical Structure // Research result. Information technologies. – T.11, №1, 2026. – P. 93-105. DOI: 10.18413/2518-1092-2026-11-1-0-8
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