The article presents the findings of research conducted with the objective of optimizing a training simulation system to align with the requirements for training in units, specifically about conducting small-unit combat operations. The study encompasses the prediction of the core system technology from alternatives, with a particular emphasis on the analysis of the entities necessary for implementation in training. Utilizing multi-criteria analysis, the study retrospectively identifies the optimal platform based on the inherent characteristics of these entities. The data obtained from the quantitative questionnaire and multi-criteria decision-making process is then evaluated and discussed in a broader context. The results of the study constitute a noteworthy data set of over 90 questionnaires processed by a relatively small group of respondents who will become future determinants for the application of simulation technologies for training. The application of a live simulation system was found to be a valuable endeavor, and a comprehensive evaluation of the necessity for the incorporation of 33 distinct simulation entities into the system was conducted. This incorporation is deemed essential to meet the demands of contemporary and effective unit preparation for combat in the drone age, as well as the establishment of numerous contemporary technologies on the new battlefield.
Rak et al. (2025) studied this question.