Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework

The problem of optimal allocation of resources in limited circumstances to handle assigned tasks has been dealt with in a wide variety of research fields. Various research methodologies have been proposed to address uncertainties such as waiting and waste in construction projects, but they do not ta...

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Autores principales:	Woong-Gi Kim, Namhyuk Ham, Jae-Jun Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	resource allocation BIM queue model digital twin Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
Acceso en línea:	https://doaj.org/article/2c372b053b55431cbee0c56e13cb9b1f
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spelling	oai:doaj.org-article:2c372b053b55431cbee0c56e13cb9b1f2021-11-11T19:29:35ZEnhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework10.3390/su1321117842071-1050https://doaj.org/article/2c372b053b55431cbee0c56e13cb9b1f2021-10-01T00:00:00Zhttps://www.mdpi.com/2071-1050/13/21/11784https://doaj.org/toc/2071-1050The problem of optimal allocation of resources in limited circumstances to handle assigned tasks has been dealt with in a wide variety of research fields. Various research methodologies have been proposed to address uncertainties such as waiting and waste in construction projects, but they do not take into account the complexity of construction production systems. In this study, a research approach was proposed that simplified the construction production system into a work package to be serviced and a work group to provide services. In addition, a conceptual 4D digital twin framework considering the uncertainty of the construction production system was proposed. This framework includes BIM as an information model and a queuing model as a decision-making model. Through case projects, we have presented how this framework can be used for decision making in several statuses. As a result of the analysis using the performance index of the queuing model, it was possible to monitor the status of the system according to the allocation of resources. In addition, it was possible to confirm the improvement of the performance index according to the additional arrangement of the work group and the activity cycle of the work package. The framework presented in this study helps to quantitatively analyze the state of the system according to the input data based on empirical knowledge, but it has a limitation in that it cannot present an optimized resource allocation solution. Therefore, in future research, it is necessary to consider the grafting of machine learning technology that can provide optimal solutions by solving complex decision-making problems.Woong-Gi KimNamhyuk HamJae-Jun KimMDPI AGarticleresource allocationBIMqueue modeldigital twinEnvironmental effects of industries and plantsTD194-195Renewable energy sourcesTJ807-830Environmental sciencesGE1-350ENSustainability, Vol 13, Iss 11784, p 11784 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	resource allocation BIM queue model digital twin Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350
spellingShingle	resource allocation BIM queue model digital twin Environmental effects of industries and plants TD194-195 Renewable energy sources TJ807-830 Environmental sciences GE1-350 Woong-Gi Kim Namhyuk Ham Jae-Jun Kim Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
description	The problem of optimal allocation of resources in limited circumstances to handle assigned tasks has been dealt with in a wide variety of research fields. Various research methodologies have been proposed to address uncertainties such as waiting and waste in construction projects, but they do not take into account the complexity of construction production systems. In this study, a research approach was proposed that simplified the construction production system into a work package to be serviced and a work group to provide services. In addition, a conceptual 4D digital twin framework considering the uncertainty of the construction production system was proposed. This framework includes BIM as an information model and a queuing model as a decision-making model. Through case projects, we have presented how this framework can be used for decision making in several statuses. As a result of the analysis using the performance index of the queuing model, it was possible to monitor the status of the system according to the allocation of resources. In addition, it was possible to confirm the improvement of the performance index according to the additional arrangement of the work group and the activity cycle of the work package. The framework presented in this study helps to quantitatively analyze the state of the system according to the input data based on empirical knowledge, but it has a limitation in that it cannot present an optimized resource allocation solution. Therefore, in future research, it is necessary to consider the grafting of machine learning technology that can provide optimal solutions by solving complex decision-making problems.
format	article
author	Woong-Gi Kim Namhyuk Ham Jae-Jun Kim
author_facet	Woong-Gi Kim Namhyuk Ham Jae-Jun Kim
author_sort	Woong-Gi Kim
title	Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
title_short	Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
title_full	Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
title_fullStr	Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
title_full_unstemmed	Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework
title_sort	enhanced subcontractors allocation for apartment construction project applying conceptual 4d digital twin framework
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/2c372b053b55431cbee0c56e13cb9b1f
work_keys_str_mv	AT woonggikim enhancedsubcontractorsallocationforapartmentconstructionprojectapplyingconceptual4ddigitaltwinframework AT namhyukham enhancedsubcontractorsallocationforapartmentconstructionprojectapplyingconceptual4ddigitaltwinframework AT jaejunkim enhancedsubcontractorsallocationforapartmentconstructionprojectapplyingconceptual4ddigitaltwinframework
_version_	1718431517469835264

Enhanced Subcontractors Allocation for Apartment Construction Project Applying Conceptual 4D Digital Twin Framework

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