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A Comparative Study on the Effectiveness Assessment of Manned and Unmanned Weapon Systems

  • Journal of Advances in Military Studies
  • Abbr : AdvMil
  • 2026, 9(2), pp.1~13
  • Publisher : Institute of Defense Acquisition Program
  • Research Area : Social Science > Military Science > Other Military Science
  • Received : September 14, 2026
  • Accepted : October 2, 2026
  • Published : October 31, 2026

Park Hongsuk ORD ID 1

1국립금오공과대학교

Accredited

ABSTRACT

With the acceleration of Defense Innovation 4.0 and advancements in artificial intelligence and autonomous control technologies, the acquisition and fielding of Manned-Unmanned Teaming (MUM-T) have emerged as a critical agenda in defense capability development. However, existing effectiveness evaluation methodologies for defense acquisition and requirements validation remain heavily oriented toward conventional manned systems, focusing primarily on kinetic and physical combat metrics. Consequently, they fail to adequately quantify the inherent operational merits of unmanned systems, such as zero-casualty benefits, multidimensional autonomy levels, battlefield visualization enhancement, and network-centric synergies. This study aims to conduct a comparative analysis of effectiveness evaluation methodologies between manned and unmanned weapon systems and to propose an integrated, mission engineering-based multidimensional evaluation framework. To demonstrate the applicability of the proposed model, an illustrative case study of a coastal defense and complex anti-submarine/mine countermeasures scenario was analyzed using quantitative scenario data. The simulation results demonstrate that the MUM-T architecture drastically reduces human casualty risk by over 85% compared to manned-alone forces, while improving battlefield visualization by approximately 1.95 times through multi-domain sensor integration. Furthermore, the MUM-T configuration extended operational mission continuity fourfold and lowered total ownership costs by approximately 22%, confirming balanced operational utility under the simulated scenario conditions. The findings provide practical guidelines and analytical consulting criteria for defense requirement authorities, acquisition managers, and defense analysts in evaluating requirements and optimizing resource allocation.

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