Sustainable Supply Chain Management in Construction Industry: 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 June 2025 | Viewed by 1484

Special Issue Editors


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Guest Editor
School of Economics and Management, Anhui Normal University, Wuhu 241000, China
Interests: deep reinforcement learning; modelling and optimization; supply chain scheduling; metaheuristics; dynamic job scheduling

Special Issue Information

Dear Colleagues,

Sustainable supply chain management (SSCM) is a key research area focused on achieving a balance between economic, environmental, and social factors for supply chain networks. One significant application of SSCM is in the construction industry, which involves costly projects, products, and supply chains in both developed and developing countries worldwide. SSCM within construction projects and supply chains involves a range of complex decision-making challenges, including facility location, production scheduling, network design, inventory management, capacity planning, supply and delivery channels, transportation modes, and routing activities.

This Special Issue aims to present efficient and practical optimization models and decision-making frameworks for assessing various sustainability criteria in construction supply chains. Economic criteria may include total cost, profit, makespan, and revenue management; environmental criteria might consider transportation-related carbon emissions, facility location impacts, and energy-efficient machine usage, while social criteria could address job creation, workplace safety, customer satisfaction, and other aspects of social development for workers and communities. To support and implement these sustainability criteria effectively, there is a need for extensive research using optimization models and decision-making approaches in construction projects and supply chains.

The scope of this Special Issue includes, but is not limited to, the following topics:

  • Sustainable supply chain management in the construction industry.
  • Multi-objective optimization models and algorithms for the construction
  • Large-scale combinatorial optimization in construction
  • Flexibility, resilience, and reliability analysis in the construction
  • Production scheduling in the construction industry.
  • Supply and delivery channel optimization in the construction industry.
  • Risk management in construction supply chains.
  • Sustainable consumption and energy-saving strategies in the construction industry.
  • Sustainable construction and resilient built infrastructure.

Prospective authors are encouraged to follow the submission guidelines on the Buildings website to submit their latest, original, and innovative research to this Special Issue by the submission deadline. Please select “Sustainable Supply Chain Management in Construction Industry” as the article type on the website to ensure that your submission is considered for this Special Issue.

Dr. Amir Mohammad Fathollahi-Fard
Dr. Min Kong
Dr. Maxim A. Dulebenets
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

  • sustainable supply chain management (SSCM)
  • construction industry
  • multi-objective optimization
  • decision-making models
  • economic sustainability
  • circular economy
  • environmental sustainability
  • social sustainability

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Published Papers (3 papers)

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Research

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35 pages, 1039 KiB  
Article
Optimization of Benefit Distribution in Green Supply Chain for Prefabricated Buildings Based on TFN-TOPSIS-Banzhaf Cooperative Game Theory
by Rongji Lai, Shiying Liu and Yinglin Wang
Buildings 2025, 15(6), 850; https://doi.org/10.3390/buildings15060850 - 8 Mar 2025
Viewed by 377
Abstract
With the rapid development of the prefabricated building industry, the green supply chain of prefabricated buildings has become a key driver of sustainable development and efficiency improvement in the industry. However, the issue of benefit distribution arising from cooperation has become the main [...] Read more.
With the rapid development of the prefabricated building industry, the green supply chain of prefabricated buildings has become a key driver of sustainable development and efficiency improvement in the industry. However, the issue of benefit distribution arising from cooperation has become the main challenge affecting the long-term stability of the supply chain. To address this, this study proposes an improved TFN-TOPSIS-Banzhaf value model, which optimizes the benefit distribution in the green supply chain of prefabricated buildings using cooperative game theory. This approach enhances both the fairness and accuracy of the distribution. The model integrates a combination of subjective and objective weighting methods based on triangular fuzzy numbers and the M-TOPSIS method for multi-factor evaluation, resulting in the corrected weight coefficients. By combining the weighting coefficients and least squares contributions, the improved Banzhaf value based on players’ weighted least squares contributions is constructed. The effectiveness and robustness of the model are verified through a case analysis, which significantly enhances the model’s ability to handle supply chain synergies and achieves a more fair and precise benefit distribution. This research provides an effective benefit distribution tool for the prefabricated building industry, promoting the continuous development of green building practices and supply chain cooperation. Full article
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22 pages, 3353 KiB  
Article
A Novel Semi-Supervised Method for Predicting Remanufacturing Costs of Used Electromechanical Devices Using Quality Characteristics
by Junying Hu, Huan Xu and Ke Zhang
Buildings 2025, 15(4), 511; https://doi.org/10.3390/buildings15040511 - 7 Feb 2025
Viewed by 438
Abstract
Remanufacturing cost is a key factor for making decisions on the remanufacturing of used electromechanical devices in the construction sector. Though, remanufacturing costs can vary significantly due to the diversity of quality characteristics, even for the same type of used electromechanical devices. To [...] Read more.
Remanufacturing cost is a key factor for making decisions on the remanufacturing of used electromechanical devices in the construction sector. Though, remanufacturing costs can vary significantly due to the diversity of quality characteristics, even for the same type of used electromechanical devices. To realize the prediction of the remanufacturing cost for used electromechanical devices relevant to construction, this paper proposes a semi-supervised remanufacturing cost prediction method based on quality characteristics. First, we establish a semi-supervised least squares support vector regression (SLSSVR) model. Then, a novel variable neighborhood search (VNS) algorithm is designed for SLSSVR parameter tuning and optimizing. To verify the performance of the VNS-SLSSVR, we provide three types of simulated examples and conduct a real case study on predicting the remanufacturing cost of used turbine worms. The experimental results show that the proposed methods are of high accuracy and reliability with a limited number of labeled samples and a substantial quantity of unlabeled ones. Full article
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Review

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26 pages, 2602 KiB  
Review
Key Factors Influencing Building Components’ Remanufacturing Strategy: A Comprehensive Literature Review
by Can Miao Gao and Kuan Yew Wong
Buildings 2025, 15(6), 934; https://doi.org/10.3390/buildings15060934 - 16 Mar 2025
Viewed by 307
Abstract
The adoption of remanufacturing technology is gaining traction, considering sustainability principles and the goal of fostering a resource-efficient society. However, given the unique environment of construction sites and the context of incorporating lean production into remanufacturing, implementing remanufacturing concepts in the construction industry [...] Read more.
The adoption of remanufacturing technology is gaining traction, considering sustainability principles and the goal of fostering a resource-efficient society. However, given the unique environment of construction sites and the context of incorporating lean production into remanufacturing, implementing remanufacturing concepts in the construction industry presents significant obstacles. The goal of this article is to provide guidance and recommendations for construction professionals when developing remanufacturing plans, including circumstances, insights, and methodology for implementation. Initially, this study distinguishes the widely used ‘3R’ terminology (reduce, reuse, and recycle) from the concept of remanufacturing applicable to the construction industry. It then investigates the characteristics of the ‘core’ (items to be remanufactured) of construction components, as well as evaluates and restructures key influencing aspects associated with remanufacturing techniques. A careful assessment of the literature and detailed descriptions help to clarify these factors. The findings show that these criteria have a double impact on remanufacturing and that successful remanufacturing techniques necessitate a mix of flexibility, safety, and stability. Finally, a ‘tumbler’ approach was offered for experts in construction component professionals, allowing key influencing factors to play a more inclusive and dependable role in the development of remanufacturing strategies. Full article
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