Choice optimization of the purposeful team activity tasks structure in an Agile-oriented organizational system

The paper proposes to select the structure of the purposeful team activities tasks in an Agile-oriented organizational system based on the optimization approach. The need for optimization is justified by the redundancy, ambiguity in traditional expert assessment methods of the goal achievement process at a given time for ensuring the values of the indicators set by the control center. The implementation of the optimization approach is fulfilled within the framework of modeling and double reduction algorithmizing of the initial set of problems, defined at the expert level. At the first stage, the application of multi-alternative optimization and quantitative expert assessment is carried out to form a numbering set of tasks, facilitating the achievement of the team activity goal. At the second stage, it is employed to decide on the sequence of tasks that are included in the reduction set when organizing the iterative process adopted in Agile-oriented organizational systems. To make management decisions, a step-by-step randomized search scheme is used that combines both stages of double reduction. The final selection is made in reliance on a set of expert rules. As a result, we obtain a variant of the task structure that enables, within a given time frame and with a certain number of team members, the goal attainment with the specified values of quantitative indicators.

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