Journal of the Architectural Institute of Korea Structure & Construction (대한건축학회논문집:구조계)

Architectural Institute of Korea (대한건축학회)
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Computational Method for Selecting Optimal Activity Acceleration Methods

최적 엑티비티 가속대안 선정 방법론

  • 리현군 (경북대학교 건설환경에너지공학부 대학원) ;
  • 곽한성 (경북대학교 건설환경에너지공학부) ;
  • 이동은 (경북대학교 건설환경에너지공학부)
  • Received : 2017.03.31
  • Accepted : 2017.05.26
  • Published : 2017.06.30
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Abstract

Project schedule compression (or crashing) is frequently required at the planning and construction stages. It is an important technique for all construction participants. Existing studies solved many aspects of this issue. They improved the practicality of the crashing method by considering the diversity and uncertainty of the time-cost function of an activity. This paper presents a system called optimal activity acceleration methods selection system (OAAM). The method generates an activity time-cost function using historical activity acceleration data which administrates overmanning and overtime at job site, defines the productivity efficiency functions which model the effects of overmanning and overtime on activity duration and cost, calculates adjusted activity time and cost attributed to activity acceleration, and identifies optimal activity acceleration alternatives for crashing. It implements the time-cost tradeoff (TCT) using genetic algorithm (GA) and identifies the most economical combination of activity acceleration alternatives to achieve a target schedule compression. A case study is presented to verify the validity of the method.

Keywords

Acknowledgement

Supported by : 한국연구재단

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