Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Research of Schedule Managing and Forecasting for Project Progress Method in Defense Research & Development using Earned Schedule Concept

Earned Schedule 개념을 활용한 국방 연구개발 사업진도 기법의 일정 관리 및 예측 기능 연구

  • Cho, Jungho (R&D Programming Directorate, Agency for Defense Development) ;
  • Ryu, Sangchul (R&D Programming Directorate, Agency for Defense Development) ;
  • Lim, Jaesung (Department of NCW Engineering, Graduate School, Ajou University)
  • 조정호 (국방과학연구소 연구계획부) ;
  • 류상철 (국방과학연구소 연구계획부) ;
  • 임재성 (아주대학교 일반대학원 NCW공학과)
  • Received : 2019.04.08
  • Accepted : 2019.07.12
  • Published : 2019.08.05
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Abstract

Traditional project progress method(PPM) has been used for Korean defense research and development project management for the last 20 years. However, it is difficult to intuitively understand the performance in terms of the project schedule, because the PPM does not provide the function of managing and forecasting project schedule. Therefore, this paper proposes new schedule managing and forecasting function for the PPM using earned schedule management concept. We verify the effectiveness of the proposed functions through several defense projects and prove that it is possible to reinforce the schedule management function of the PPM.

Keywords

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Fig. 1. Procedure of progress management in defense R&D project

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Fig. 2. Example of project progress index

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Fig. 3. Leveraging ESM concept

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Fig. 4. SPI and SEAC over the entire duration of a specific project

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Fig. 5. SPI quarterly comparison before project extension point

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Fig. 6. MAPE quarterly comparison before project extension point

Table 1. Estimate formula in EVM

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Table 2. Project schedule/budget adjustment status for last 5 years

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Table 3. Schedule performance indicator

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Table 4. Example of comparison between PPI and SPIPPM

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Table 5. Schedule estimate at completion(SEAC)

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Table 6. Performance factor of SEAC

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Table 7. Number of delayed projects for verification

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