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Article: Real-Time Optimization of Precast Concrete Component Transportation and Storage

TitleReal-Time Optimization of Precast Concrete Component Transportation and Storage
Authors
Issue Date2020
Citation
Advances in Civil Engineering, 2020, v. 2020, article no. 5714910 How to Cite?
AbstractThe construction of prefabricated concrete structures involves many different types of precast concrete (PC) components. Improper arrangements of the transportation, storage, and hoisting of the PC components could lead to unnecessary relocation of PC components, causing a delay in construction progress. To address this problem, this paper presented a dynamic optimization method for PC component transportation and storage based on real-time scheduling and tracking. The real-time schedule can be extracted from a 4D building information model (BIM), and the position of PC components during the whole transportation process is tracked by a proposed tracking system which integrates the global navigation satellite system (GNSS) and the radio frequency identification (RFID) technology. A transportation optimization model was built to obtain a reasonable transportation plan based on real-time construction progress. A cyclic operation network (CYCLONE) simulation model for component storing and hoisting was proposed to calculate the on-site transportation time. A storage optimization model was proposed by considering the real-time transportation information to optimize the storage mode and storage position in the yard. The proposed models were solved in the context of a case study, which indicates that our method can reduce the on-site transportation time by 37% and effectively control the relocation times.
Persistent Identifierhttp://hdl.handle.net/10722/324128
ISSN
2023 Impact Factor: 1.5
2023 SCImago Journal Rankings: 0.435
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorLiu, Donghai-
dc.contributor.authorLi, Xin-
dc.contributor.authorChen, Junjie-
dc.contributor.authorJin, Rui-
dc.date.accessioned2023-01-13T03:01:41Z-
dc.date.available2023-01-13T03:01:41Z-
dc.date.issued2020-
dc.identifier.citationAdvances in Civil Engineering, 2020, v. 2020, article no. 5714910-
dc.identifier.issn1687-8086-
dc.identifier.urihttp://hdl.handle.net/10722/324128-
dc.description.abstractThe construction of prefabricated concrete structures involves many different types of precast concrete (PC) components. Improper arrangements of the transportation, storage, and hoisting of the PC components could lead to unnecessary relocation of PC components, causing a delay in construction progress. To address this problem, this paper presented a dynamic optimization method for PC component transportation and storage based on real-time scheduling and tracking. The real-time schedule can be extracted from a 4D building information model (BIM), and the position of PC components during the whole transportation process is tracked by a proposed tracking system which integrates the global navigation satellite system (GNSS) and the radio frequency identification (RFID) technology. A transportation optimization model was built to obtain a reasonable transportation plan based on real-time construction progress. A cyclic operation network (CYCLONE) simulation model for component storing and hoisting was proposed to calculate the on-site transportation time. A storage optimization model was proposed by considering the real-time transportation information to optimize the storage mode and storage position in the yard. The proposed models were solved in the context of a case study, which indicates that our method can reduce the on-site transportation time by 37% and effectively control the relocation times.-
dc.languageeng-
dc.relation.ispartofAdvances in Civil Engineering-
dc.rightsThis work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.-
dc.titleReal-Time Optimization of Precast Concrete Component Transportation and Storage-
dc.typeArticle-
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1155/2020/5714910-
dc.identifier.scopuseid_2-s2.0-85083050408-
dc.identifier.volume2020-
dc.identifier.spagearticle no. 5714910-
dc.identifier.epagearticle no. 5714910-
dc.identifier.eissn1687-8094-
dc.identifier.isiWOS:000522929400002-

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