Observational analysis improves adaptability and decision-making in defense environments, indicating mission engineering effectiveness.
The increasing complexity of modern defense projects requires a structured and adaptive approach to systems integration. This paper defines complexity as the interplay of multiple interdependent components within Systems of Systems (SoS) in defense environments. Mission Engineering (ME) has emerged as a strategic framework to tackle these complexities by facilitating comprehensive integration and adaptability. Leveraging the methodology outlined in the 2023 Department of Defense Mission Engineering Guide V2.0, this research applies ME across several case studies to assess its limitations and identify opportunities for enhancement. Through these case studies, we uncover critical weaknesses in the current framework and provide insights into how ME can be refined to improve decision-making and system adaptability. The findings lead to the proposal of an enhanced fidelity-driven ME framework, incorporating new and modified components (e.g. dynamic fidelity tiers, modular decomposition procedures, automated feedback loops) to boost its applicability and efficiency in defense scenarios. This study significantly contributes to the field by offering practical refinements to existing ME methodologies and establishing a foundation for future research aimed at enhancing the resilience and effectiveness of defense systems engineering.
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Ali et al. (2025) studied this question.
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