한국건축시공학회지 (Journal of the Korea Institute of Building Construction)

  • 제16권2호
  • /
  • Pages.151-159
  • /
  • 2016
  • /
  • 1598-2033(pISSN)
  • /
  • 2233-5706(eISSN)
한국건축시공학회 (The Korean Institute of Building Construction)
권호 표지
DOI QR코드

DOI QR Code

DSM을 활용한 타워크레인 양중계획 최적화에 관한 연구

Optimization of T/C Lifting Plan using Dependency Structure Matrix (DSM)

  • Kim, Seungho (School of Architecture, Yeungnam University) ;
  • Kim, Sangyong (School of Architecture, Yeungnam University) ;
  • Jean, Jihoon (Department of Architectural Engineering, Daegu University) ;
  • An, Sung-Hoon (Department of Architectural Engineering, Daegu University)
  • 투고 : 2016.01.15
  • 심사 : 2016.03.10
  • 발행 : 2016.04.20
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

건설프로젝트에서 요구되는 중요한 장비 중 하나는 타워크레인 이다. 특히, 대부분의 고층건물 공사에서는 자재들의 이동작업들을 수행하기 위해 타워크레인이 더욱 요구되어진다. 따라서 타워크레인의 양중계획은 공사기간과 비용의 측면에서도 중요하다 할 수 있다. 하지만, 건설현장 대부분의 양중계획은 여전히 합리적인 작업의 분석없이 현장 관리자들의 경험과 직관에 의존하여 행해지고 있다. Dependency structure matrix (DSM)는 CPM과 Pert 같은 기존의 툴과는 다르게 작업 활동 순서 계획과 정보관리를 하는데 있어서 유용한 툴이다. 본 연구는 타워크레인의 양중 관리를 향상시키기 위하여 실제 건설 현장의 Case study를 통해 타워크레인 양중관리의 새로운 틀을 DSM을 이용하여 제시 할 것이다. DSM을 이용한 T/C의 양중계획의 Case study를 통해 나타난 결과는 기준층 양중 계획에 있어서 T/C의 양중계획을 최적화 시키는데 매우 유용하다는 결론을 보여주었다.

Tower crane (T/C) is one of the major equipment that is highly demanded in construction projects. Especially, most high-rise building projects require T/C to perform lifting and hoisting activities of materials. Therefore, lifting plan of T/C needs to reduce construction duration and cost. However, most lifting plan of the T/C in construction sites has still performed depending on experience and intuition of the site manager without systematic process of rational work. Dependency structure matrix (DSM) is useful tool in planning the activity sequences and managing information exchanges unlike other existing tools. To improve lifting plan of T/C efficiently, this study presents a framework for the scheduling T/C using DSM through the case study in real world construction site. The results of case study showed that the scheduling T/C using DSM is useful to optimize the T/C lifting plan in terms of easiness, specially in the typical floor cycle lifting planning.

키워드

참고문헌

  1. Sawhney A, Mund, A. Adaptive probabilistic neural network- based crane type selection system. Journal of construction engineering and management. 2002 May;128(3):265-73. https://doi.org/10.1061/(ASCE)0733-9364(2002)128:3(265)
  2. Kim SW, Choe MK. A Study on the Lifting Progress Character Tributary for the Construction Materials Moving Method. Journal of the Architectural Institute of Korea. 2010 Mar;12(1):199-205.
  3. Jang S. Tower Crane Operation Management Using the Dependency Structure Matrix (DSM) [master's thesis]. [Seoul (Korea)]: Seoul National University; 2009. 96 p.
  4. Huang C, Wong CK, Tam CM. Optimization of tower crane and material supply locations in a high-rise building site by mixed-integer linear programming. Automation in Construction. 2011 Aug;20(5):571-80. https://doi.org/10.1016/j.autcon.2010.11.023
  5. Marzouk M, Abubakr A. Decision support for tower crane selection with building information models and genetic algorithms. Automation in Construction. 2016 Jan;61:1-15. https://doi.org/10.1016/j.autcon.2015.09.008
  6. Shapira A, Lucko G, Schexnayder CJ. Cranes for building construction projects. Journal of Construction Engineering and Management. 2007 Sep;133(9):690-700. https://doi.org/10.1061/(ASCE)0733-9364(2007)133:9(690)
  7. Shin YS. Construction Lift Planning System in Tall Building Construction. Journal of the Architectural Institute of Korea. 2011 Nov;27(11):227-35.
  8. Al-Hussein M, Niaz MA, Yu H, Kim H. Integrating 3D visualization and simulation for tower crane operations on construction sites. Automation in Construction. 2006 Sep;15(5):554-62. https://doi.org/10.1016/j.autcon.2005.07.007
  9. Zhang P, Harris FC, Olomolaiye PO, Holt GD. Location optimization for a group of tower cranes. Journal of construction engineering and management. 1999 Mar;125(2):115-22. https://doi.org/10.1061/(ASCE)0733-9364(1999)125:2(115)
  10. Tam CM, Tong TK. GA-ANN model for optimizing the locations of tower crane and supply points for high-rise public housing construction. Construction Management and Economics. 2003;21(3):257-66. https://doi.org/10.1080/0144619032000049665
  11. Sacks R, Navon R, Brodeskaia I, Shapire A. Feasibility of Automated Monitoring of Lifting Equipment in Support of Project Control. Journal of construction engineering and management. 2005 May;131(5):604-14. https://doi.org/10.1061/(ASCE)0733-9364(2005)131:5(604)
  12. Ahn BJ, Kim JJ. Evaluating the Feasibility of a Lift Plan for Finish Materials in high-Rise Building Construction. Journal of the Architectural Institute of Korea. 2001 Jan;17(1):145-56.
  13. Lee UK, Kang KI, Kim GH, Cho HH. Improving tower crane productivity using wireless technology. Computer-Aided Civil and Infrastructure Engineering. 2006 Nov;21(8):594-604. https://doi.org/10.1111/j.1467-8667.2006.00459.x
  14. An H, Lee S, Jeong S. Development of Tower-crane Monitoring System Using Genetic Algorithm. Proceeding of Institute of Control, Robotics and Systems; 2009 Sep 2-4; Busan, Korea. Seoul (Korea): 2009. p. 826-8.
  15. Lee JH, Kim YS. The Effective Process of Tower Crane Lifting & Material Management Using Smart-Phone. Journal of the Architectural Institute of Korea. 2012 Jul;28(7):141-50.
  16. Yassine A, Braha D. Complex concurrent engineering and the design structure matrix method. Concurrent Engineering. 2003 Sep;11(3):165-76. https://doi.org/10.1177/106329303034503