Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades

Existing SCS (space-constrained scheduling) studies fall short of minimizing the effect of the stacking of trades that decline productivity due to an increase in resources within a physically limited work area. This article presents a space-constrained scheduling optimization (i.e., SSO) method for...

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Autores principales:	Han-Seong Gwak, Won-Sang Shin, Young-Jun Park
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	workspace productivity scheduling genetic algorithm optimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
Acceso en línea:	https://doaj.org/article/179d79406f834adda8841a7c51ec740c
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id	oai:doaj.org-article:179d79406f834adda8841a7c51ec740c
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spelling	oai:doaj.org-article:179d79406f834adda8841a7c51ec740c2021-11-25T16:43:19ZSpace-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades10.3390/app1122110472076-3417https://doaj.org/article/179d79406f834adda8841a7c51ec740c2021-11-01T00:00:00Zhttps://www.mdpi.com/2076-3417/11/22/11047https://doaj.org/toc/2076-3417Existing SCS (space-constrained scheduling) studies fall short of minimizing the effect of the stacking of trades that decline productivity due to an increase in resources within a physically limited work area. This article presents a space-constrained scheduling optimization (i.e., SSO) method for minimizing the stacking of trades. It imports schedule information from the project database, extracts IFC files of construction site area from the BIM model, defines the occupation density function of each activity to track the level of stacking of trades, and identifies the optimal solution (i.e., the optimal set of pairs of execution pattern alternatives and start times of activities) by implementing genetic algorithm (GA) optimization analysis. The study is of value to practitioners because SSO provides an easy-to-use computerized tool that reduces the lengthy computations relative to data processing and GAs. Test cases verify the validity of the computational method.Han-Seong GwakWon-Sang ShinYoung-Jun ParkMDPI AGarticleworkspaceproductivityschedulinggenetic algorithmoptimizationTechnologyTEngineering (General). Civil engineering (General)TA1-2040Biology (General)QH301-705.5PhysicsQC1-999ChemistryQD1-999ENApplied Sciences, Vol 11, Iss 11047, p 11047 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	workspace productivity scheduling genetic algorithm optimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999
spellingShingle	workspace productivity scheduling genetic algorithm optimization Technology T Engineering (General). Civil engineering (General) TA1-2040 Biology (General) QH301-705.5 Physics QC1-999 Chemistry QD1-999 Han-Seong Gwak Won-Sang Shin Young-Jun Park Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
description	Existing SCS (space-constrained scheduling) studies fall short of minimizing the effect of the stacking of trades that decline productivity due to an increase in resources within a physically limited work area. This article presents a space-constrained scheduling optimization (i.e., SSO) method for minimizing the stacking of trades. It imports schedule information from the project database, extracts IFC files of construction site area from the BIM model, defines the occupation density function of each activity to track the level of stacking of trades, and identifies the optimal solution (i.e., the optimal set of pairs of execution pattern alternatives and start times of activities) by implementing genetic algorithm (GA) optimization analysis. The study is of value to practitioners because SSO provides an easy-to-use computerized tool that reduces the lengthy computations relative to data processing and GAs. Test cases verify the validity of the computational method.
format	article
author	Han-Seong Gwak Won-Sang Shin Young-Jun Park
author_facet	Han-Seong Gwak Won-Sang Shin Young-Jun Park
author_sort	Han-Seong Gwak
title	Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
title_short	Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
title_full	Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
title_fullStr	Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
title_full_unstemmed	Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades
title_sort	space-constrained scheduling optimization method for minimizing the effects of stacking of trades
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/179d79406f834adda8841a7c51ec740c
work_keys_str_mv	AT hanseonggwak spaceconstrainedschedulingoptimizationmethodforminimizingtheeffectsofstackingoftrades AT wonsangshin spaceconstrainedschedulingoptimizationmethodforminimizingtheeffectsofstackingoftrades AT youngjunpark spaceconstrainedschedulingoptimizationmethodforminimizingtheeffectsofstackingoftrades
_version_	1718413002091266048

Space-Constrained Scheduling Optimization Method for Minimizing the Effects of Stacking of Trades

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