KSCE Journal of Civil and Environmental Engineering Research (대한토목학회논문집)

Korean Society of Civil Engeneers (대한토목학회)
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Productivity analysis using a Fleet Management System for Construction Equipment

건설장비 플릿관리 시스템 적용시 생산성 분석

  • Lim, So-Young (Seoul National University of Science and Technology) ;
  • Kim, Sung-Keun (Seoul National University of Science and Technology)
  • 임소영 (서울과학기술대학교 건설시스템공학과) ;
  • 김성근 (서울과학기술대학교 건설시스템공학과)
  • Received : 2019.12.02
  • Accepted : 2019.12.17
  • Published : 2020.02.01
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Abstract

With the advent of the 4th industrial revolution and the combination of IoT, there have been diverse domestic and foreign researches for the development of construction industry. Especially, in the large-scale earthwork site where many and various construction equipments are put into, the control system between construction equipments is important for the increase of productivity. Thus, after developing the fleet management system for the optimum operation of construction equipments, the problems were checked and improved for each step in the process of application at site. In order to verify the site application process of the fleet management system for the optimum operation of construction equipments, the analysis on the productivity was performed by inputting the data used for the actual site and the site data using this system and then comparing the data through simulation. The analysis was limited to excavator and dump. In the results of the analysis, the rate of work per hour was increased to the range of 4 % while the cost price was decreased to 4 %. Even though the results of the analysis could be different depending on the site applied, the results showing the increase of workload of equipments and the decrease of cost price in the complex project at earthwork site verify the increase of productivity.

4차 산업혁명 시대의 도래와 IoT 기술의 접목을 통하여 건설산업을 발전 시키기 위한 다양한 연구가 국내·외에서 진행되고 있다. 특히 다수다종의 건설장비가 투입되는 대단지 토공현장에서 건설장비의 관제 시스템은 생산성 증대를 위하여 매우 중요하다. 이러한 이유로 건설장비 최적운영 플릿관리 시스템이 개발되었고, 현장에서 적용과정 중에 문제점이 도출되어 단계별로 개선이 필요하게 되었다. 건설장비 최적운영 플릿관리시스템의 현장 적용과정을 검증하기 위해 실제 현장에 사용되었던 데이터와 본 시스템을 이용하여 생성된 현장자료를 입력하고 시뮬레이션을 통해 데이터를 비교하여 생산성 분석을 진행하였다. 분석은 굴삭기와 덤프에 국한하여 진행하였으며, 분석결과 시간당 작업율이 4 %대로 증가, 반면에 원가는 4 %로 감소되는 것으로 나타났다. 적용한 현장에 따라서 분석결과는 상이할 수 있지만, 토공현장 단지사업에서 장비의 작업량 증가와 원가 감소를 보여준 것은 생산성 증대를 검증한 것으로 사료된다.

Keywords

References

  1. Ahn, S. H., Kim, S. K. and Lee, K. W. (2016). "Development of a fleet management system for cooperation among construction equipment." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 36, No. 3, pp. 573-586 (in Korean). https://doi.org/10.12652/Ksce.2016.36.3.0573
  2. Baek, H. G., Kang, S. H. and Seo, J. W. (2015). "An earthwork districting model for large construction project." Journal of the Korean Society for Geospatial Information System, KSGIS, Vol. 35, No. 3, pp. 715-723 (in Korean).
  3. Cho, G. Y., Seo, M. G. and Nam, S. H. (2016). The technical trend of intelligent construction machines and the industry prospect, Research report, KAIA (in Korean).
  4. Jang, J. H. (2011). The development of intelligent excavation system (Final report), Research report# 1615001635, KAIA (in Korean).
  5. Kim, B. S. (2014a). The development of carbon dioxide-reduction earthwork planning models, Research report#1345201570, NRF (in Korean).
  6. Kim, N. I. and Kim, S. (2017). The direction of construction machinery technical development considering changes in the construction industry, KEIT PD Issue Report, Vol. 17-12, pp. 50-73 (in Korean).
  7. Kim, S. K. (2014b). "A multi-agent based cooperation system for an intelligent earthwork." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 34, No. 5, pp. 1609-1623 (in Korean). https://doi.org/10.12652/Ksce.2014.34.5.1609
  8. Kim, S. K. and Lim, S. Y. (2017). "A study on the improvement of a fleet management system for construction equipment." Journal of the Korean Society of Civil Engineers, KSCE, Vol. 37, No. 6, pp. 1063-1076 (in Korean). https://doi.org/10.12652/Ksce.2017.37.6.1063
  9. Kim, S. K., Seo, J. W. and Russell, J. S. (2012). "Intellgent navigntion strategis for automated earthwork system." Automation in Construction, Vol. 21, No. 1, pp. 132-147 (in Korean). https://doi.org/10.1016/j.autcon.2011.05.021
  10. Seo, J. W. (2018). The control of construction equipments using ICT and the technical development of smart construction, Research report #17SCIP-B079689-04, KAIA (in Korean).
  11. Seo, J. W., Kim, J. H., Jung, T. H., Min, J. H. and Hoe, Y. R. (2012). The operating smart construction system of carbon-reduction construction equipments, Research report#615003951, KAIA (in Korean).