Intelligent Multi-Criteria Decision-Making Methodologies in Building and 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: 15 August 2025 | Viewed by 1061

Special Issue Editors


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Guest Editor
Department of Applied Mathematics, Ayandegan Institute of Higher Education, Tonekabon, Iran
Interests: computational intelligence; uncertainty; decision theory and method; multicriteria decision-making; construction management, operation research; soft computing; computational modeling
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
Department of Construction Management and Real Estate, Vilnius Gediminas Technical University, LT-10223 Vilnius, Lithuania
Interests: civil engineering; multiple-criteria decision-making; multiple-criteria optimization in construction technology and management; sustainability
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

Following the success of our first Special Issue, "Intelligent Multi-Criteria Decision-Making Methodologies in Building and Construction Management", we are thrilled to announce the second volume in this series. The previous Special Issue attracted numerous high-quality submissions, showcasing innovative applications and advancements in multi-criteria decision-making (MCDM) methodologies. Building on this foundation, the second volume aims to delve deeper into the theoretical and practical applications of intelligent decision-making approaches in building and construction management.

As the construction industry navigates increasing complexity, uncertainty, and sustainability demands, MCDM methodologies have become indispensable for optimizing decision-making processes. This Special Issue seeks cutting-edge contributions that explore mathematical innovations, computational intelligence, and practical implementations of MCDM in construction. Particular emphasis will be placed on emerging trends such as digital twins, Internet of Things (IoT)-enabled smart cities, and artificial intelligence (AI)-driven decision-making frameworks, alongside traditional areas like resource optimization, risk management, and sustainable development.

We welcome submissions on innovative MCDM models, hybrid frameworks, performance benchmarking, and real-world case studies. By inspiring novel solutions and fostering scientific progress, this Special Issue aims to advance intelligent decision-making methodologies and address critical challenges in construction management.

Topics include, but are not limited to, the following:

  • Decision analysis and strategic planning: Advanced frameworks and methodologies for decision-making in construction projects, balancing cost, efficiency, and sustainability.
  • Uncertainty in MCDM: Cutting-edge approaches to address and model uncertainty, enabling robust and adaptive decision-making under varying conditions.
  • Innovative modeling in MCDM: Development of novel mathematical and computational models to address emerging challenges and improve decision-making accuracy.
  • Digital twins and smart cities: The integration of MCDM with digital twin technology to support smart city planning, infrastructure optimization, and real-time decision-making.
  • IoT in Buildings and Construction: Leveraging IoT and intelligent systems to streamline construction processes and improve operational efficiency.
  • Computational intelligence in MCDM: Incorporating AI, machine learning, and hybrid systems to enhance the capabilities of multi-criteria decision-making.
  • Inventory and supply chain management: The application of MCDM methodologies to optimize supply chain operations, improve logistics, and enhance resilience in construction networks.
  • Performance management and benchmarking: MCDM-based evaluation tools and methods to measure and benchmark performance, ensuring alignment with strategic goals.
  • Building Information Modeling (BIM): Integration of MCDM with BIM to enhance project planning, resource allocation, and construction execution.
  • Sustainable construction: Innovative MCDM approaches for sustainable design, material selection, energy efficiency, and green building practices.
  • Risk and safety management: Advanced methods for identifying, assessing, and mitigating risks to improve safety and reliability in construction projects.
  • Construction delays and mitigation strategies: Applications of MCDM to analyze and reduce delays, optimize timelines, and improve project delivery.
  • Reliability and maintenance engineering: Ensuring long-term durability and system reliability through MCDM-based maintenance planning.
  • Urban renovation and adaptive reuse: Decision-making methodologies for urban renewal, historic preservation, and adaptive reuse of spaces to meet contemporary needs.
  • Transportation and logistics in construction: Optimization of transportation systems and logistics operations using MCDM models to improve efficiency and reduce costs.
  • Case studies and real-world applications: Empirical studies showcasing the transformative impact of MCDM in addressing real-world challenges in building and construction management.

Dr. Seyyed Ahmad Edalatpanah
Prof. Dr. Jurgita Antucheviciene
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

  • multi-criteria decision-making
  • measurement of performance in construction
  • computational intelligence
  • optimization in construction management
  • multi-attribute decision-making
  • digital twins and smart cities
  • sustainable construction
  • risk and safety management
  • building information modeling
  • building management

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Related Special Issue

Published Papers (2 papers)

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Research

31 pages, 3565 KiB  
Article
Sustainable Construction Material Selection Based on Novel Integrated CRIterion Free-Fall Time–SPHERicity of Alternative Decision-Making Model
by Miloš Gligorić, Zoran Gligorić, Suzana Lutovac and Svetlana Štrbac-Savić
Buildings 2025, 15(9), 1440; https://doi.org/10.3390/buildings15091440 - 24 Apr 2025
Viewed by 255
Abstract
As the civil industry, and especially the concrete industry, constantly advance and modernize, the usage of sustainable construction materials is becoming increasingly important. These materials represent one of the most significant components in the concept of the sustainable development of every company and [...] Read more.
As the civil industry, and especially the concrete industry, constantly advance and modernize, the usage of sustainable construction materials is becoming increasingly important. These materials represent one of the most significant components in the concept of the sustainable development of every company and industry. Underground mining, as a part of mining industry, largely applies sustainable materials to perform some of its technological operations. The optimal selection of sustainable construction materials is one of the key tasks for underground mining engineers. This paper proposes a novel integrated CRIFFT-SPHERA decision-making model for choosing the most suitable concrete mixture for supporting and backfilling activities in an underground mine. A total of ten concrete mixtures forms a set of alternatives which are evaluated with respect to four criteria. To validate the proposed MCDM model, an extensive numerical calculation procedure as well as comparative analysis are conducted through a hypothetical example. The obtained results confirm the extremely high degree of stability and reliability of the developed model. Also, the results are checked using sensitivity analysis based on changes in the values of the weight coefficients. In addition, the effectiveness of the developed model is verified through real-world problems where its application for solving these problems in various industries is accepted. This paper provides valuable insights for engineers dealing with problem of the construction of different concrete forms and structures, especially in underground areas, with fly ash as an element belonging to a group of sustainable construction materials. Full article
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29 pages, 17900 KiB  
Article
Multi-Criteria Analysis of Steel–Concrete–Steel Slab Performance: Dynamic Response Assessment Under Post-Fire Explosion
by Shijie Zhang, Zhenfu Chen, Yizhi Liu, Qiuwang Tao, Dan Wu and Pinyu Zou
Buildings 2025, 15(8), 1340; https://doi.org/10.3390/buildings15081340 - 17 Apr 2025
Viewed by 196
Abstract
Steel–concrete–steel (SCS) composite slabs are widely used in critical infrastructures such as nuclear power plants, where systematic performance evaluation through multiple criteria is crucial due to their safety functions. During their use, fires may occur due to fuel or gas leaks, leading to [...] Read more.
Steel–concrete–steel (SCS) composite slabs are widely used in critical infrastructures such as nuclear power plants, where systematic performance evaluation through multiple criteria is crucial due to their safety functions. During their use, fires may occur due to fuel or gas leaks, leading to explosions. This article uses ABAQUS 2020 finite element software and combines the different advantages of the implicit heat transfer algorithm and explosion display algorithm to establish a numerical simulation method for dynamic analysis of SCS slab under explosion after fire. Based on different fire conditions and the propagation laws of explosion shock waves, some key dynamic indicators and failure modes of the slab were studied. The results reveal progressive damage mechanisms with increasing fire duration, characterized by expanding damage areas, significant stress fluctuations, and increasing displacement rates. Additionally, the fire surface shows greater vulnerability than the back fire surface. The results provide multiple evaluation criteria for assessing structural performance, including temperature distribution, stress evolution, and damage patterns, which can support engineering decision-making in structural safety management. Full article
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