Journal of the Korea Institute of Building Construction (한국건축시공학회지)

The Korean Institute of Building Construction (한국건축시공학회)
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Optimization of T/C Lifting Plan using Dependency Structure Matrix (DSM)

DSM을 활용한 타워크레인 양중계획 최적화에 관한 연구

  • 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)
  • Received : 2016.01.15
  • Accepted : 2016.03.10
  • Published : 2016.04.20
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Abstract

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.

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.

Keywords

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