Genetic algorithm-based steel erection planning model for a construction automation system

Wi Sung Yoo, Hak Ju Lee, Dong In Kim, Kyung In Kang, Hun Hee Cho

Research output: Contribution to journalArticle

11 Citations (Scopus)

Abstract

Over the past decade, construction project managers have been forced increasingly to cope with the lack of a skilled workforce and increases in hazardous circumstances for human operations. Construction automation systems have been widely proposed as alternatives to overcome these difficulties and to raise construction quality, enhance productivity, and improve safety. To demonstrate the efficiency of a construction automation system, we introduce a Genetic Algorithm-based Repetitive Tasks Simulation (GARTS) model for planning steel erection in high-rise building construction. This model produces an optimized movement path of a bolting robot for fabricating steel structures, proposes a collaboration plan between a robot and a worker, and quantifies the uncertainty of the duration of steel erection. As an illustrative case, the so-called robot-based construction automation system (RCA) was applied to a pilot project. The results showed the model's capacities and justified its application to other extended types of robotic construction systems.

Original languageEnglish
Pages (from-to)30-39
Number of pages10
JournalAutomation in Construction
Volume24
DOIs
Publication statusPublished - 2012 Jul 1

Fingerprint

Automation
Genetic algorithms
Planning
Steel
Robots
Steel structures
Robotics
Managers
Productivity

Keywords

  • Bolting robot
  • Construction automation system
  • Genetic algorithm-based repetitive tasks simulation
  • Steel erection

ASJC Scopus subject areas

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

Cite this

Genetic algorithm-based steel erection planning model for a construction automation system. / Yoo, Wi Sung; Lee, Hak Ju; Kim, Dong In; Kang, Kyung In; Cho, Hun Hee.

In: Automation in Construction, Vol. 24, 01.07.2012, p. 30-39.

Research output: Contribution to journalArticle

@article{55341e8982ea46f294983cd5b5ea6fce,
title = "Genetic algorithm-based steel erection planning model for a construction automation system",
abstract = "Over the past decade, construction project managers have been forced increasingly to cope with the lack of a skilled workforce and increases in hazardous circumstances for human operations. Construction automation systems have been widely proposed as alternatives to overcome these difficulties and to raise construction quality, enhance productivity, and improve safety. To demonstrate the efficiency of a construction automation system, we introduce a Genetic Algorithm-based Repetitive Tasks Simulation (GARTS) model for planning steel erection in high-rise building construction. This model produces an optimized movement path of a bolting robot for fabricating steel structures, proposes a collaboration plan between a robot and a worker, and quantifies the uncertainty of the duration of steel erection. As an illustrative case, the so-called robot-based construction automation system (RCA) was applied to a pilot project. The results showed the model's capacities and justified its application to other extended types of robotic construction systems.",
keywords = "Bolting robot, Construction automation system, Genetic algorithm-based repetitive tasks simulation, Steel erection",
author = "Yoo, {Wi Sung} and Lee, {Hak Ju} and Kim, {Dong In} and Kang, {Kyung In} and Cho, {Hun Hee}",
year = "2012",
month = "7",
day = "1",
doi = "10.1016/j.autcon.2012.02.007",
language = "English",
volume = "24",
pages = "30--39",
journal = "Automation in Construction",
issn = "0926-5805",
publisher = "Elsevier",

}

TY - JOUR

T1 - Genetic algorithm-based steel erection planning model for a construction automation system

AU - Yoo, Wi Sung

AU - Lee, Hak Ju

AU - Kim, Dong In

AU - Kang, Kyung In

AU - Cho, Hun Hee

PY - 2012/7/1

Y1 - 2012/7/1

N2 - Over the past decade, construction project managers have been forced increasingly to cope with the lack of a skilled workforce and increases in hazardous circumstances for human operations. Construction automation systems have been widely proposed as alternatives to overcome these difficulties and to raise construction quality, enhance productivity, and improve safety. To demonstrate the efficiency of a construction automation system, we introduce a Genetic Algorithm-based Repetitive Tasks Simulation (GARTS) model for planning steel erection in high-rise building construction. This model produces an optimized movement path of a bolting robot for fabricating steel structures, proposes a collaboration plan between a robot and a worker, and quantifies the uncertainty of the duration of steel erection. As an illustrative case, the so-called robot-based construction automation system (RCA) was applied to a pilot project. The results showed the model's capacities and justified its application to other extended types of robotic construction systems.

AB - Over the past decade, construction project managers have been forced increasingly to cope with the lack of a skilled workforce and increases in hazardous circumstances for human operations. Construction automation systems have been widely proposed as alternatives to overcome these difficulties and to raise construction quality, enhance productivity, and improve safety. To demonstrate the efficiency of a construction automation system, we introduce a Genetic Algorithm-based Repetitive Tasks Simulation (GARTS) model for planning steel erection in high-rise building construction. This model produces an optimized movement path of a bolting robot for fabricating steel structures, proposes a collaboration plan between a robot and a worker, and quantifies the uncertainty of the duration of steel erection. As an illustrative case, the so-called robot-based construction automation system (RCA) was applied to a pilot project. The results showed the model's capacities and justified its application to other extended types of robotic construction systems.

KW - Bolting robot

KW - Construction automation system

KW - Genetic algorithm-based repetitive tasks simulation

KW - Steel erection

UR - http://www.scopus.com/inward/record.url?scp=84860283087&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84860283087&partnerID=8YFLogxK

U2 - 10.1016/j.autcon.2012.02.007

DO - 10.1016/j.autcon.2012.02.007

M3 - Article

VL - 24

SP - 30

EP - 39

JO - Automation in Construction

JF - Automation in Construction

SN - 0926-5805

ER -