Korean Journal of Construction Engineering and Management (한국건설관리학회논문집)

Korea Institute of Construction Engineering and Management (한국건설관리학회)
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Preliminary Scheduling Based on Historical and Experience Data for Airport Project

초기 기획단계의 실적 및 경험자료 기반 공항사업 기준공기 산정체계

  • Received : 2017.07.18
  • Accepted : 2017.09.05
  • Published : 2017.11.30
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Abstract

Preliminary scheduling at the initial stage of planning phase is usually performed with limited information and details. Therefore, the reliability and accuracy of preliminary scheduling is affected by personal experiences and skills of the schedule planners, and it requires enormous managerial effort (or workload). Reusing of historical data of the similar projects is important for efficient preliminary scheduling. However, understanding the structure of historical data and applying them to a new project requires a great deal of experience and knowledge. In this context, this paper propose a framework and methodology for automated preliminary schedule generation based on historical database. The proposed methodology and framework enables to automatically generate CPM schedules for airport projects in the early planning stage in order to enhance the reliability and to reduce the workload by using structured knowledge and experience.

사업초기 단계의 공정업무는 숙련된 전문 인력들의 경험에 의해 비정형화된 자료를 위주로 수행됨에 따라 정확도 높은 계획을 수립하기 위해서는 과다한 비용 및 시간이 소요되기 마련이다. 사업초기 기획단계에서의 공정/원가 기획업무를 보다 효율적으로 수행하기 위해서는 실적자료를 재활용하는 것이 무엇보다 중요하다. 그러나 실적자료의 구조를 완전하게 이해하고 이를 새로운 사업에 적용하는 것은 매우 많은 경험과 지식을 요구한다. 이러한 배경에서, 본 연구에서는 공항사업을 대상으로 사업초기 기획단계에서 경험이 많지 않은 기술자도 쉽게 CPM 공정표 초안을 작성할 수 있는 실적자료 데이터 기반의 기준공기 산정 방법론 및 체계를 제시하였으며, 사례 프로젝트에 적용하여 공정표 초안으로서의 의미 있는 결과를 도출하였다. 제시한 기준공기 산정 방법론 및 산정체계는 실적 및 경험자료를 구조화함으로써 초기단계의 제한된 정보만으로도 CPM activity 및 공기를 자동으로 생성할 수 있으며, 기획단계의 CPM 공정표로서의 신뢰성 및 정확성 향상은 물론 업무부담의 최소화가 가능하다.

Keywords

References

  1. Czarnigowska, A., and Sobotka, A. (2014). "Estimating construction duration for public roads during the preplanning phase" Journal of Engineering Projec, and Production Management, 4(1), p. 26.
  2. Hammad, A. A. A., Ali, S. M. A., Sweis, G. J., and Bashir, A. (2008). "Prediction model for construction cost and duration in Jordan" Jordan Journal of Civil Engineering, 2(3).
  3. Hoffman, G. J., Thal Jr, A. E., Webb, T. S., and Weir, J. D. (2007). "Estimating performance time for construction projects" Journal of Management in Engineering, ASCE, 23(4), pp. 193-199. https://doi.org/10.1061/(ASCE)0742-597X(2007)23:4(193)
  4. Jin, R., Han, S., Hyun, C., and Cha, Y. (2015). "Application of Case-Based Reasoning for Estimating Preliminary Duration of Building Projects" Journal of Construction Engineering and Management, ASCE, 142(2), 04015082. https://doi.org/10.1061/(ASCE)CO.1943-7862.0001072
  5. Jung, I. S., Hwang, J. H., Park, J. S., and Lee, C. S. (2000). "Predictive Model for the Estimation of Net Working Days in the Military Facility Construction" Journal of the Architectural Institute of Korea, 16(9), pp. 67-74.
  6. Jung, Y. S. (2008). "Automated Front-End Planning for Cost and Schedule: Variables for Theory and Implementation" Proceedings of the 2008 Architectural Engineering National Conference, ASCE, Denver, USA.
  7. Jung, Y. S., and Kang, S. H. (2007). "Knowledge-Based Standard Progress Measurement for Integrated Cost and Schedule Performance Control" Journal of Construction Engineering and Management, ASCE, 133(1), pp. 10-21. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:1(10)
  8. Jung, Y. S., Lee, Y. S., and Woo, S. K. (2009). "Automated CPM Schedule Generation for Early Project Planning: Methodology and Case Study" Proceedings of Construction Research Congress 2009, ASCE, Seattle, USE, pp. 816-825.
  9. Kim, K. J., Cho, J. Y., Lee, D. Y., and Lee, M. J. (2016 ). "Development of an automated As-planned schedule system for efficient scheduling" KSCE Journal of Civil Engineering, 20(4), pp. 1131-1137. https://doi.org/10.1007/s12205-015-0234-2
  10. Kim, K. J., Yun, W. G., and Kim, I. K. (2016). "Estimating approximate construction duration of CFRD in the planning stage" KSCE Journal of Civil Engineering, pp. 1-10.
  11. Kim, S. J., and Lee, J. S. (2004). "An Optimal Scheduling Method Using Probability on the Estimation of Construction Duration" Korean Journal of Construction Engineering and Management, KICEM, 5(6), pp. 72-79.
  12. Koo, H. S., and Choi, B. C. (1999). "A Study on the Estimation of Construction Period Considering Weather Factor in Building Construction" Journal of the Architectural Institute of Korea, 15(11), pp. 87-96.
  13. Kwon, D. C., and Lee, C. S. (2004). "The Estimation of Construction Duration for High School Buildings Based on the Actual Data" Korean Journal of Construction Engineering and Management, KICEM, 5(6), pp. 138-145.
  14. Lee, B. S., Kim, K. N., and Lee, M. J. (2015). "A Study on Normal Project Duration for Water Resource Project" Korean Journal of Construction Engineering and Management, KICEM, 16(1), pp. 35-43. https://doi.org/10.6106/KJCEM.2015.16.1.035
  15. Lee, S. B. (2001). "A Study on the Optimal Duration Estimating Method by Line of Balance" Journal of the Architectural Institute of Korea, 17(9), pp. 233-240.
  16. Lin, M., Tserng, H. P., Ho, S., and Young, D. (2011). "Developing a construction-duration model based on a historical dataset for building project" Journal of Civil Engineering and Management, 17(4), pp. 529-539. https://doi.org/10.3846/13923730.2011.625641
  17. Martin, J., Burrows, T. K., and Pegg, I. (2006). "Predicting construction duration of building projects" XXIII Congreso FIG.
  18. Shin, J. H., and Lee, C. S. (1996). "Estimating method for Construction Duration in the Frame Work of Reinforced Concrete Wall-Slab Type Apartments" Journal of the Architectural Institute of Korea, 12(7), pp. 349-364.
  19. Stoy, C., Pollalis, S., and Schalcher, H. (2007). "Early estimation of building construction speed in Germany" International Journal of Project Management, 25(3), pp. 283-289. https://doi.org/10.1016/j.ijproman.2006.11.010