• Title/Summary/Keyword: 군용 항공기 적정 소요

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Military Aircrafts Proper Quantity Decision Model Using Simulation Analysis (시뮬레이션 기법을 적용한 군용 항공기 소요 산정 모형)

  • Kim, Sang-Min;Lee, Moon-Gul
    • Journal of the Korea Society for Simulation
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    • v.23 no.4
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    • pp.151-161
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    • 2014
  • It is very important to evaluate proper acquisition of military aircraft against future threats in our military defense field. In previous studies, the evaluation has been determined in terms of tasking order or weapon power index. These methods compare the combat-effectiveness index and the number of aircraft. However, this study provides simulation analysis of proper quantity decision based on actual operational senarios of military aircraft using System Dynamics. The method reflects the properties of military aircraft operation concepts and considers the rate of failure of main systems on subsystems, as well as repair and crash rates caused by differentials in peacetime and wartime frame.

Optimal Number of Spare Engines and Modules for Aircraft Types (항공기 유형을 고려한 최적 예비엔진 및 모듈 소요 산출)

  • Jeon, Tae Bo;Sohn, Young Hwan;Kim, Ki Dong
    • Journal of the Korea Society for Simulation
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    • v.26 no.3
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    • pp.35-46
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    • 2017
  • Spare engine plays an important role for securing readiness of military strength during unexpected fault occurrences and field/depot planned maintenances. The purpose of this research is to present an approach towards the optimal number of spare engines/modules for diversity of aircraft types. We first reviewed two representative approaches, METRIC and meta model. We then investigated military aircrafts and categorized them into 5 types with regard to the engine type and number of engines/modules per aircraft. Through rigorous investigation of planned/non-planned maintenance of each type, we drew parameters and variables involved. As known, due to the complexity of the problem, it is impossible to develop a simple mathematical model with a closed form solution. Based on the airbase operation and maintenance logic with parameters/variable drawn, we developed a simulation model using ARENA well representing real field exercises. For the optimal solution, we applied OptQuest. It has shown that the program developed generates reliable results through a set of case examples.