Building Information Modelling (BIM) Applications in Construction Management: 2nd Edition

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

Deadline for manuscript submissions: 10 November 2025 | Viewed by 993

Special Issue Editors


E-Mail Website
Guest Editor
Department of Construction Management, East Carolina University, Greenville, NC 27858, USA
Interests: visualization and BIM development and implantation (virtual design and construction); lean and green construction management
Special Issues, Collections and Topics in MDPI journals

E-Mail Website
Guest Editor
Department of Construction Management, East Carolina University, Greenville, NC 27858, USA
Interests: building information modelling in construction management; virtual reality and mixed reality applications in construction management; unmanned aircraft system applications in construction management
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

This Special Issue is a follow-up of the first Special Issue, entitled “Building Information Modelling (BIM) Applications in Construction Management” (https://www.mdpi.com/journal/buildings/special_issues/UKS5G76I9K), published in Buildings.

Applying building information modelling (BIM) in construction management processes can benefit multiple project parties or stakeholders by integrating project information into multiple 3D or nD intelligent models. Accordingly, BIM can act as a strong basis for sharing and transferring project information among different users and for supporting more effective and more accurate decision making in construction management processes. Therefore, the research and development of building information modelling (BIM) applications is now one of the most important and useful areas in the field of construction management due to its potential benefits and the nature of innovation. This Special Issue welcomes submissions of the latest research developments and implementations of BIM technology and applications throughout the entire construction management processes, including demolition, pre-construction, construction, and post-construction stages. The Special Issue seeks papers on BIM applications in all related areas of construction management, including, but not limited to, clash detection, quantity take-off and cost estimates, project schedule and control, safety prediction and simulation, quality assurance, team collaboration, subcontracting, and material supplies and fabrication. It also explores the relationship between BIM/virtual design and construction (VDC) and other emerging technologies such as artificial intelligence (AI)/machine learning, robotics for surveying, digital twins, virtual reality, Internet of Things (IoT), lean construction and construction cloud, etc. We invite submissions of both original research and critical reviews that address the above.

Dr. Zhili Gao
Dr. Yilei Huang
Guest Editors

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 semimonthly 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

  • BIM (Building Information Modelling)
  • construction management
  • clash detection
  • decision making
  • estimating
  • scheduling
  • construction safety
  • integration

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Related Special Issue

Published Papers (2 papers)

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Research

23 pages, 3050 KiB  
Article
Probabilistic Cash Flow Analysis Considering Risk Impacts by Integrating 5D-Building Information Modeling and Bayesian Belief Network
by Mohammad Hosein Madihi, Mohammadsoroush Tafazzoli, Ali Akbar Shirzadi Javid and Farnad Nasirzadeh
Buildings 2025, 15(11), 1774; https://doi.org/10.3390/buildings15111774 - 22 May 2025
Abstract
Unrealistic cash flow forecasts negatively affect project stakeholders and are a common issue for construction practitioners. This study proposes a new method for predicting the probabilistic cash flow of a project that can automate the calculation process while considering the impact of risks [...] Read more.
Unrealistic cash flow forecasts negatively affect project stakeholders and are a common issue for construction practitioners. This study proposes a new method for predicting the probabilistic cash flow of a project that can automate the calculation process while considering the impact of risks and their inter-related structure. This research integrates a Bayesian Belief Network (BBN) and 5D-BIM to provide a new probabilistic cash flow analysis approach. Here, 5D-BIM is used to facilitate cash flow calculations and automate the process. The BBN has also been implemented to assess the impact of risk factors on project cash flow, considering their complex inter-related structure. In addition, a hybrid approach combining fuzzy set theory, decision-making trial and evaluation laboratory (DEMATEL), and interpretive structural modeling (ISM) is used to form the BBN. The proposed method provides a robust tool for calculating the probabilistic cash flow of the project. The results showed that the project’s cash flow in the last month was IRR 14.4 billion without considering the impact of risks. The probabilistic cash flow of the project indicates that due to the impact of the risks, the project cash flow will be in the range of IRR −142.2 billion and IRR 1.11 billion at the end of the project. This shows the possibility of experiencing between 11 and 130% deviation in the project cash flow due to existing risks. In conclusion, project cash flow is unreliable without considering the impact of risks. This framework supports better financial decisions and allows for the evaluation of cash flow risk management scenarios. Full article
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19 pages, 4643 KiB  
Article
Optimizing Rebar Process and Supply Chain Management for Minimized Cutting Waste: A Building Information Modeling-Based Data-Driven Approach
by Lwun Poe Khant, Daniel Darma Widjaja, Dongjin Kim, Titi Sari Nurul Rachmawati and Sunkuk Kim
Buildings 2025, 15(6), 844; https://doi.org/10.3390/buildings15060844 - 7 Mar 2025
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Abstract
Rebar procurement inefficiencies, such as inaccurate quantity estimation and misaligned delivery schedules, often lead to excessive waste, supply shortages, and project delays. While existing optimization methods reduce cutting waste, their effectiveness diminishes without integration into supply chain management (SCM). This study presents an [...] Read more.
Rebar procurement inefficiencies, such as inaccurate quantity estimation and misaligned delivery schedules, often lead to excessive waste, supply shortages, and project delays. While existing optimization methods reduce cutting waste, their effectiveness diminishes without integration into supply chain management (SCM). This study presents an integrated framework to optimize rebar processing and supply chain management (SCM) by leveraging Building Information Modeling (BIM) and data-driven optimization strategies. A 24-floor case study validated the approach, optimizing continuous main rebars into special lengths and combining discontinuous lengths into cutting patterns based on special lengths. Rebar orders were organized into 12 batches, each meeting a 15-ton minimum and requiring order placement at least two months in advance. An activity database integrated rebar optimization with the construction schedule, facilitating SCM analysis. BIM automation streamlined procurement by generating Bar Bending Schedules (BBSs) and synchronizing rebar tracking with real-time updates, improving coordination, efficiency, and project outcomes, particularly in high-rise building projects. Full article
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