Simulation model incorporating genetic algorithms for optimal temporary hoist planning in high-rise building construction

Yoonseok Shin, Hun Hee Cho, Kyung In Kang

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

Temporary hoist planning is a key factor for successful project completion in a high-rise building construction. Inadequate plans for hoists in the early stages of a project can cause problems such as failing to hoist resources as required or leaving hoists idle. There are two existing approaches, simple formulas and simulation techniques, for planning temporary hoists. However, simple formulas cannot treat hoist arrangements consisting of different kinds of hoists, while the simulation technique is both time-consuming and tedious when there are many alternatives. In this study, a discrete-event simulation model incorporating genetic algorithms is proposed to support hoist planners while preparing optimal plans with minimal time and effort for high-rise building construction. To verify the applicability of the proposed model, it was applied to a real project and gave better results than a previous approach to temporary hoist planning.

Original languageEnglish
Pages (from-to)550-558
Number of pages9
JournalAutomation in Construction
Volume20
Issue number5
DOIs
Publication statusPublished - 2011 Aug 1

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Hoists
Genetic algorithms
Planning
Discrete event simulation

Keywords

  • Discrete-event simulation
  • Genetic algorithms
  • High-rise building construction
  • Temporary hoist planning

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Civil and Structural Engineering
  • Building and Construction

Cite this

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abstract = "Temporary hoist planning is a key factor for successful project completion in a high-rise building construction. Inadequate plans for hoists in the early stages of a project can cause problems such as failing to hoist resources as required or leaving hoists idle. There are two existing approaches, simple formulas and simulation techniques, for planning temporary hoists. However, simple formulas cannot treat hoist arrangements consisting of different kinds of hoists, while the simulation technique is both time-consuming and tedious when there are many alternatives. In this study, a discrete-event simulation model incorporating genetic algorithms is proposed to support hoist planners while preparing optimal plans with minimal time and effort for high-rise building construction. To verify the applicability of the proposed model, it was applied to a real project and gave better results than a previous approach to temporary hoist planning.",
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