Software Package for Planning and Optimization of Management Decisions Based on Multi-agent Models

In this paper, the authors describe the architecture of a software system that allows to solve the problems of planning and optimizing project management activities during the development of corporate information systems. The process of preparing and conducting such projects, taking into account current trends, is a rather time–consuming task, which requires the use of special software products, such as: decision support systems and multi–agent modeling systems, which allow for an acceptable time to analyze complex interrelated processes, as well as to take rational, valid decisions. Within the framework of the system architecture under consideration, the algorithmic and software used in the multi-agent model of the project activity process for developing corporate information systems were implemented. Interaction within the complex is implemented using RESTful API technology, and its components are designed using a wireframe architecture, which together provides high flexibility for customizing the solution, easy to adapt for a large number of tasks, cross-platform compatibility, as well as universality of the basic model algorithms, ranking methods for alternatives and optimization module. Orientation to web-based interfaces provides major opportunities for integration with project management services and tasks, for example, Redmine or Jira, that allows to access and analyze a large amount of statistical information about the participants of the process, about tasks that have to be solved in the planning period, and also use this information to build valid models. The practical significance of this research lies in the automation of the activities of the person responsible for planning and management in the project activity, through the application of rigorous well-founded mathematical approaches that rationalize decisions that lead to undoubted financial benefits and risks minimization.Исследование выполнено при финансовой поддержке РФФИ в рамках научного проекта №18-00-00012 (18-00-00011) КОМФ