Formalization of Efficiency Іndicators in Life-Cycle Processes for Military Ground Robotic Complexes
Abstract
Purpose. To develop a scientifically grounded system of formalized indicators for quantitative assessment of the efficiency of life-cycle processes of military ground robotic complexes.
Method. The study applies a multi-criteria decision-making framework combining analytic hierarchy process (AHP) and fuzzy logic to capture both quantitative and expert qualitative assessments. The research integrates a stage-by-stage decomposition of the MGRC life cycle with a structured indicators hierarchy covering technical, operational, cybersecurity, and economic dimensions.
Findings. A comprehensive set of efficiency indicators for each life-cycle stage was defined and mathematically formalized. The approach enables consistent evaluation of development, testing, operation, modernization, and disposal processes. A conceptual model and algorithm for data collection and expert weighting were proposed, supporting automated calculation of integral efficiency indices.
Theoretical implications. The work extends the theory of life-cycle management of cyber-physical military systems by introducing a unified multi-criteria assessment methodology applicable to autonomous robotic platforms.
Practical implications. The proposed model can be used in the development of technical requirements, testing programs, life cycle documentation, and regulatory acts governing the adoption and logistical support of military ground robotic systems.
Value. This is the first study to formalize a complete indicators hierarchy specifically tailored to the life-cycle efficiency of military ground robotic complexes, accounting for their cyber-physical nature, frequent software updates, and cybersecurity requirements.
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References
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