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Buildings
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Advanced Construction Management for Modular and Off-Site Building Construction
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Advanced Construction Management for Modular and Off-Site Building Construction

A special issue of Buildings (ISSN 2075-5309). This special issue belongs to the section "Construction Management, and Computers & Digitization".

Deadline for manuscript submissions: closed (31 December 2023) | Viewed by 3314

Special Issue Editor

Dr. Jeong-Hoon Lee

E-Mail Website
Guest Editor
Major in Architectural Systems Engineering, School of Architectural Engineering, Gyengsang National University, Jinju 52828, Republic of Korea
Interests: modular construction; quality control; planning; construction management; optimization; design for disassembly (DfD)

Special Issue Information

Dear Colleagues,

Over the last 20 years, modular, off-site building construction projects have achieved remarkable results. Research and case studies have demonstrated their leading role in resolving labor shortage problems, environmental issues, and reduced productivity in the construction industry. However, research on modular, off-site building construction management projects is less prevalent.

This Special Issue will present advanced research findings and case studies of modular, off-site building construction projects.

Potential topics include (but are not limited to):

  • Cost management;
  • Time management;
  • Quality management;
  • Safety management;
  • Procurement;
  • Delivery methods;
  • Validation and verification methods;
  • Case studies;
  • Production process optimization;
  • Transportation optimization for modular and off-site construction;
  • Communication.

Dr. Jeong-Hoon Lee
Guest Editor

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Buildings is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • optimization
  • modular construction
  • production
  • construction management
  • off-site construction
  • advanced management
  • case studies

Published Papers (3 papers)

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Research

23 pages, 7997 KiB  
Article
Multiresolution Modeling of a Modular Building Design Process Based on Design Structure Matrix
by Yu Wang, Suping Bian, Ling Dong and Hongxian Li
Buildings 2023, 13(9), 2330; https://doi.org/10.3390/buildings13092330 - 14 Sep 2023
Cited by 1 | Viewed by 758
Abstract
Currently, modular building is undergoing vigorous development in China, and has provided a significant advantage in many fields, but its quality is difficult to guarantee. The key is to improve the design process, shorten the development cycle, and enhance competitiveness. Therefore, it is [...] Read more.
Currently, modular building is undergoing vigorous development in China, and has provided a significant advantage in many fields, but its quality is difficult to guarantee. The key is to improve the design process, shorten the development cycle, and enhance competitiveness. Therefore, it is necessary to establish and optimize the design process of modular buildings. This article was based on the DSM and adopted a parallel design to model the modular building design process. Based on this, the design process was analyzed and optimized to shorten the development cycle and reduce costs. At the same time, considering the differences in attributes between different stages of the modular building design process, a DSM model with different resolutions was constructed based on the content and interrelationships of modular building design. The schedule and cost of the design process were evaluated through simulation, the differences between different resolution models were compared, and a more reliable estimate of the schedule and cost of the design process was obtained. Considering the workload and difficulty of high-resolution modeling, an approximate estimation method based on low-resolution modeling was proposed to alleviate the dependence on high-resolution models and modeling costs to some extent, thereby effectively improving the predictability of the design process and providing necessary reference for product design management personnel. Full article
(This article belongs to the Special Issue Advanced Construction Management for Modular and Off-Site Building Construction)
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16 pages, 2603 KiB  
Article
Impact of Engineering Changes on Value Movement in Fund Flow: Monte Carlo-System Dynamics Modeling Approach
by Lianghai Jin, Yuelong Yin, Faxing Du, Hongchuan Yuan and Chuchu Zheng
Buildings 2023, 13(9), 2218; https://doi.org/10.3390/buildings13092218 - 31 Aug 2023
Viewed by 673
Abstract
A healthy fund flow system is crucial for the successful construction of any project. Project fund flow management has made significant progress, increasingly aligning with real-world applications. However, due to the uncertainties associated with Engineering Changes (ECs) in projects, the actual fund flow [...] Read more.
A healthy fund flow system is crucial for the successful construction of any project. Project fund flow management has made significant progress, increasingly aligning with real-world applications. However, due to the uncertainties associated with Engineering Changes (ECs) in projects, the actual fund flow may still deviate from expectations. These systems still require improvements and corrections of flaws to enhance the efficiency of construction projects and reduce exposure to risks associated with ECs. Construction projects are complex and involve many processes. Each process represents a specific part of the project; therefore, an EC in one area can impact resource scheduling and fund balance. In our analysis, we found that ECs are directly related to fund demands and may result in the need for more materials, labor, and duration. Furthermore, ECs can alter construction progress and payment schedules, exacerbating project risks. As a result, effective management of fund flexibility becomes highly necessary. To explore the impact of ECs on the value dynamics of fund flow, it is important to understand and describe the stochastic paths of fund flow and discern the dynamic changes at each stage. Given this, we introduced a system dynamics model based on the Monte Carlo simulation. This model adeptly characterizes project risks and quantifies uncertainty variables, thereby making the simulation more aligned with reality. Moreover, the model illuminates the intricate relationship between project risk and project productivity, highlighting the origins of fund flow fluctuations. It is imperative to identify project risks early and address ECs promptly and effectively. Through sensitivity analysis and strategies, we ensure the stability of fund flow. This study offers a pivotal framework for understanding and managing fund flow in projects, emphasizing the central role of system dynamics in this process. Full article
(This article belongs to the Special Issue Advanced Construction Management for Modular and Off-Site Building Construction)
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21 pages, 11984 KiB  
Article
A Knowledge Graph-Based Approach to Recommending Low-Carbon Construction Schemes of Bridges
by Zhonggang Ma, Siteng Zhang, He Jia, Kuan Liu, Xiaofei Xie and Yuanchuang Qu
Buildings 2023, 13(5), 1352; https://doi.org/10.3390/buildings13051352 - 22 May 2023
Viewed by 1550
Abstract
With the development of the engineering construction industry, knowledge became an important strategic resource for construction enterprises, and knowledge graphs are an effective method for knowledge management. In the context of peak carbon dioxide emissions and carbon neutrality, low carbon emission became one [...] Read more.
With the development of the engineering construction industry, knowledge became an important strategic resource for construction enterprises, and knowledge graphs are an effective method for knowledge management. In the context of peak carbon dioxide emissions and carbon neutrality, low carbon emission became one of the important indicators for the selection of construction schemes, and knowledge management research related to low carbon construction must be performed. This study investigated a method of incorporating low-carbon construction knowledge into the bridge construction scheme knowledge graph construction process and proposed a bridge construction scheme recommendation method that considers carbon emission constraints based on the knowledge graph and similarity calculation. First, to solve the problem of the poor fitting effect of model parameters caused by less annotation of the corpus in the bridge construction field, an improved entity recognition model was proposed for low-resource conditions with limited data. A knowledge graph of low carbon construction schemes for bridges was constructed using a small sample dataset. Then, based on the construction of this knowledge graph, the entities and relationships related to construction schemes were obtained, and the comprehensive similarity of bridge construction schemes was calculated by combining the similarity calculation principle to realize the recommendation of bridge construction schemes under different constraints. Experiments on the constructed bridge low carbon construction scheme dataset showed that the proposed model achieved good accuracy with named entity recognition tasks. The comparative analysis with the construction scheme of the project verified the validity of the proposed construction scheme considering carbon emission constraints, which can provide support for the decision of the low-carbon construction scheme of bridges. Full article
(This article belongs to the Special Issue Advanced Construction Management for Modular and Off-Site Building Construction)
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