Article
Food Science & Technology
Yiqin Zhang, Luyao Chen, Maurizio Battino, Mohamed A. Farag, Jianbo Xiao, Jesus Simal-Gandara, Haiyan Gao, Weibo Jiang
Summary: This article recommends the use of blockchain to upgrade the current fresh fruit supply chain and analyzes the obstacles faced by the implementation of this technology in relation to participants' attitude, fruit preservation, and blockchain technical loopholes. The research shows that blockchain can help solve the problems in supply chain management, including information tamper resistance, supply-demand relationship, and traceable supervision.
TRENDS IN FOOD SCIENCE & TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Guipeng Zhang, Zhenguo Yang, Wenyin Liu
Summary: Supply chain management is an important method for companies to improve production efficiency and reduce management costs. However, the current SCM system is vulnerable to collusion and tampering attacks from malicious certificate authorities, resulting in illegal modifications of product provenance records. This paper proposes a blockchain-based decentralized supply chain system to ensure secure information sharing and eliminate the need for a fully trusted intermediary. The system includes validation mechanisms and smart contracts to enable secure registration, authentication, and payment for stakeholders.
COMPUTERS & INDUSTRIAL ENGINEERING
(2023)
Article
Construction & Building Technology
Faris Elghaish, M. Reza Hosseini, Tuba Kocaturk, Mehrdad Arashpour, Masoomeh Bararzadeh Ledari
Summary: Blockchain and smart contracts are utilized to accelerate the implementation of circular economy in construction processes. However, there is still a lack of integrated solutions that cover all aspects of the circular supply chain. This paper proposes a workable solution to address the fragmented adoption of blockchain in construction procedures, following the five-stage procedure of design science research. The proposed solution has novel features and provides fertile ground for future research.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Information Systems
Astrid Novita Putri, Mochamad Hariadi, Reza Fuad Rachmadi
Summary: Smart contracts and blockchain are crucial for supply chain management as they enhance transparency and security in data transactions while eliminating intermediaries. Through blockchain technology, supply chain management can achieve decentralized data sharing, facilitating the tracking of product flow.
Article
Computer Science, Theory & Methods
Zhijun Xu, Jun Zhang, Zhaoxiong Song, Yichen Liu, Jun Li, Jihua Zhou
Summary: This paper discusses a design scheme of an integrated platform for supply chain management based on blockchain, aiming to fully utilize the security enhancement features of blockchain technology. It also addresses common problems in blockchain-based schemes, presents a data-driven credit evaluation scheme, and introduces a cross-chain architecture design.
Review
Construction & Building Technology
Jong Han Yoon, Pardis Pishdad-Bozorgi
Summary: This paper analyzes the critical problems in the construction supply chain (CSC) and identifies the limitations of existing studies. It explores the potential of using blockchain technology to address these issues and bridge the research gap. The paper highlights that sustainability, collaboration, and information sharing are key issues in the CSC. Current studies focus on individual problems without considering the holistic system view. The proposed solution is to integrate supply chain management with blockchain technology to enhance sustainability, promote collaboration, and facilitate information sharing.
JOURNAL OF CONSTRUCTION ENGINEERING AND MANAGEMENT
(2022)
Article
Computer Science, Interdisciplinary Applications
Jianbin Gao, Bonsu Adjei-Arthur, Emmanuel Boateng Sifah, Hu Xia, Qi Xia
Summary: This article discusses the challenges in establishing equilibrium in the supply chain and the importance of a blockchain framework. By utilizing blockchain and smart contracts, cooperation among parties can be facilitated, leading to maximizing efficiency and establishing trust in the supply chain.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2022)
Article
Computer Science, Information Systems
Dhyey Mehta, Sudeep Tanwar, Umesh Bodkhe, Arpit Shukla, Neeraj Kumar
Summary: The Industry 4.0-based oil and gas supply chain industry utilizes advanced technologies to automate processes, but faces challenges in managing various stakeholders. Traditional schemes for royalty transactions may be unreliable and lead to disputes, highlighting the need for a secure, cost-effective solution to execute these transactions.
INFORMATION PROCESSING & MANAGEMENT
(2021)
Article
Computer Science, Artificial Intelligence
Hesam Hamledari, Martin Fischer
Summary: This study assesses the impact of blockchain and smart contracts on the visibility of construction supply chain, finding that blockchain improves information completeness and accuracy compared to digital solutions. The improvements are more pronounced for queries with higher granularity, and the blockchain-enabled solution is robust in handling more granular information queries.
ADVANCED ENGINEERING INFORMATICS
(2021)
Article
Chemistry, Multidisciplinary
Jing Li, Yafei Song
Summary: This paper proposes a supply chain system based on blockchain technology, aiming to address issues in traditional centralized supply chains such as asymmetric information and low collaboration efficiency. By standardizing information exchange formats and utilizing smart contracts, the system enhances efficiency and reliability in the supply chain.
APPLIED SCIENCES-BASEL
(2021)
Article
Management
Pedro Azevedo, Jorge Gomes, Mario Romao
Summary: In the global marketplace, supply chains often involve multiple countries, organizations, and complex processes. This complexity makes it challenging to ensure traceability, chain of custody, and transparency, thus affecting business competitiveness. This study proposes using Blockchain to ensure chain of custody and traceability, allowing organizations to demonstrate product provenance, integrity, and compliance. By connecting Supply Chain Actors and product identifications using digital certificates, a complete traceability solution can be achieved. The study includes the design of a Public Key Infrastructure (PKI) and the development of an Ethereum Smart Contract for certificate authentication, providing decentralized and trustful assurance of provenance, chain of custody, and traceability in supply chains.
OPERATIONS MANAGEMENT RESEARCH
(2023)
Article
Green & Sustainable Science & Technology
Lingyuan Zeng, Qiang Du, Li Zhou, Xiaoyan Wang, Hongyu Zhu, Libiao Bai
Summary: This paper examines the issue of just-in-time purchasing in a prefabricated construction supply chain and proposes coordinated schemes to achieve a win-win outcome. The study provides managerial implications for strengthening cooperation among participants and promoting sustainable development of the supply chain.
JOURNAL OF CLEANER PRODUCTION
(2022)
Article
Green & Sustainable Science & Technology
Xugang Zhang, Xinbiao Feng, Zhigang Jiang, Qingshan Gong, Yan Wang
Summary: The production and sales of electric vehicles in China are increasing, leading to a forthcoming wave of scrap batteries. However, power battery recycling faces challenges such as disorganization, lack of standards, and low efficiency. Additionally, the power battery recycling supply chain encounters issues with transparency, data management, trustworthiness, and counterfeiting. Therefore, a blockchain-based PBRSC management integration framework is proposed to address these problems and improve the ecosystem.
JOURNAL OF CLEANER PRODUCTION
(2023)
Article
Computer Science, Information Systems
Bora Bugra Sezer, Selcuk Topal, Urfat Nuriyev
Summary: Traceability and auditability are crucial in supply chain management and construction, with trust being the most important aspect. This article proposes a framework for supply chain traceability that protects the privacy of third parties and demonstrates its applicability through testing. The framework also provides anonymity and traceability based on user preferences.
JOURNAL OF INFORMATION SECURITY AND APPLICATIONS
(2022)
Article
Green & Sustainable Science & Technology
Zhaoqing Yu, Jiakun Sun
Summary: Green technological innovation plays a crucial role in the sustainable development of the construction industry, particularly in the prefabricated building supply chain (PBSC). However, competitive environment and green input costs may hinder the willingness of PBSC firms to improve their green technology level. This study investigates green cooperation strategies in the PBSC by constructing a PBSC model consisting of a smart construction management platform, a contractor, and prefabricated-component manufacturers. The findings reveal that the optimal service commission of the smart construction management platform increases with the cost of green technology and the competition intensity among prefabricated-component manufacturers. However, the green technology level decreases with competition. The study also highlights the importance of vertical cooperation strategy between the smart construction management platform and prefabricated-component manufacturers, while the integration strategy yields the highest system profit for the PBSC.
Article
Computer Science, Interdisciplinary Applications
Chengke Wu, Xiao Li, Rui Jiang, Yuanjun Guo, Jun Wang, Zhile Yang
Summary: This study proposes a novel deep learning model, D-GNN, which integrates domain information to effectively complete PCM knowledge bases, improving performance and accuracy. The experimental results demonstrate significant improvement in KBC using D-GNN.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Computer Science, Interdisciplinary Applications
Xiao Li, Jianhuan Zeng, Chen Chen, Hung-lin Chi, Geoffrey Qiping Shen
Summary: This study introduces a decentralized deep learning approach (SWPL) to monitor the fatigue of construction equipment operators in order to ensure occupational health and safety. The results demonstrate that SWPL outperforms individual work packages in a decentralized network.
COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING
(2023)
Article
Management
Weisheng Lu, Frank Ato Ghansah, Jinying Xu
Summary: Two generic approaches, the 'category' approach and the 'index' approach, have been used to measure the level of prefabrication in construction. However, these approaches face difficulties in accurately understanding the extent of prefabrication in a building project. To tackle this issue, this study developed a 'category and index hybrid' (CIH) approach that provides a comprehensive measurement of prefabrication. The approach was validated through measuring 15 high-rise building projects in Hong Kong and conducting interviews with industry stakeholders. The results showed that the CIH approach effectively captured the different types and extent of prefabrication usage in buildings.
INTERNATIONAL JOURNAL OF CONSTRUCTION MANAGEMENT
(2023)
Article
Construction & Building Technology
Rui Zhao, Zhe Chen, Fan Xue
Summary: Construction project management (CPM) is complex and distributed, and digital twin and blockchain are considered as promising solutions. This paper proposes ChainPM as a Blockchain 3.0 paradigm, extending Blockchain 2.0 with innovative indexing, query, and analysis functions for key CPM data. Experimental results showed significant reduction in information synchronization latency and the functions of ChainPM worked well without network connections. ChainPM contributes to the trend of Blockchain 3.0 paradigms for CPM digital twins, addressing barriers of internet reliance and information delay.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Green & Sustainable Science & Technology
Liang Yuan, Weisheng Lu, Fan Xue, Maosu Li
Summary: This research aims to develop a simple and satisfactory model for quantifying urban material stock (UMS) by focusing on individual buildings, using building features to estimate material stocks. The model uses machine learning-based regression and provides a useful reference for quantifying UMS in other regions.
JOURNAL OF INDUSTRIAL ECOLOGY
(2023)
Article
Computer Science, Artificial Intelligence
Xiao Li, Chengke Wu, Zhile Yang, Yuanjun Guo, Rui Jiang
Summary: This study proposes a knowledge graph-enabled adaptive work packaging (K-GAWP) approach to reduce dynamic gaps between design and manufacturing in modular construction. It dynamically forms semantic-enriched work packages with different granularities by extracting complex semantic relations among work package elements and reasoning the implicit semantic knowledge. The K-GAWP approach performs work packaging in an adaptive, accurate, and efficient manner, thereby improving the distributed planning and control of modular construction projects.
KNOWLEDGE-BASED SYSTEMS
(2023)
Article
Construction & Building Technology
Sou-Han Chen, Fan Xue
Summary: This study proposes an automatic BIM detailing method based on deep features (DFs) and provides experimental evidence for the effectiveness of DFs in improving automatic detailing results.
AUTOMATION IN CONSTRUCTION
(2023)
Article
Computer Science, Interdisciplinary Applications
Dong Liang, Fan Xue
Summary: This paper integrates automated machine learning and interpretability analysis to study the failure mechanism of reinforced concrete shear walls. The results show that the AutoML model outperforms conventional ML methods in terms of accuracy, and the interpretability analysis confirms the trustworthiness of the model.
COMPUTERS IN INDUSTRY
(2023)
Review
Business
Frank Ato Ghansah, Weisheng Lu
Summary: In the past 3 years, the global construction sector has been greatly impacted by the COVID-19 pandemic. Various stakeholders in the construction industry have been actively devising strategies to handle the crisis caused by the pandemic. However, a comprehensive review of the academic contributions and strategies for post-pandemic actions and future pandemics is lacking. This study conducts an up-to-date literature review to address this knowledge gap.
CONSTRUCTION MANAGEMENT AND ECONOMICS
(2023)
Article
Management
Jinying Xu, Weisheng Lu
Summary: This study aimed to investigate the impact of hierarchy steepness on intra-organizational coordination in project-based organizations (PBOs). The results showed that hierarchy steepness had a positive relationship with organizational coordination intensity, but a negative relationship with individual coordination power. These findings challenged the previous notion that hierarchy hinders coordination and highlighted the benefits of a steeper hierarchy. The implications suggest that PBOs should consider strengthening their hierarchical structure to improve intra-organizational coordination.
PROJECT MANAGEMENT JOURNAL
(2023)
Article
Computer Science, Artificial Intelligence
Rongyan Li, Hung-Lin Chi, Zhenyu Peng, Xiao Li, Albert P. C. Chan
Summary: With the increasing number of high-rise building projects, tower crane layout planning has become crucial. Current optimization approaches require manual data extraction, becoming more complex as projects scale. To alleviate the planning burden, an automatic TCLP system using a generative adversarial network is proposed, achieving robust and efficient results through parameter adjustment and data augmentation.
ADVANCED ENGINEERING INFORMATICS
(2023)
Article
Construction & Building Technology
Qianyun Zhou, Fan Xue
Summary: This paper proposes a Symmetric Skeleton Grammar-based Multi-Objective Optimization (SSG-MOO) method for parametric MiC designs, with the objectives of energy efficiency and interior daylight performance. The Pareto optima of the SSG-MOO are computed and analyzed at different levels, demonstrating significant improvements compared to baseline design. The contribution of this paper includes a novel SSG-MOO formulation and time-efficient design tactics for MiC.
ENERGY AND BUILDINGS
(2023)
Article
Computer Science, Interdisciplinary Applications
Jinying Xu, Jinfeng Lou, Weisheng Lu, Liupengfei Wu, Chen Chen
Summary: Ensuring material provenance is a promising solution to material fraudulence in the construction industry. However, current logistics and supply chain strategies hinder provenance tracing due to intermediaries and low technologies. This research develops a deployable framework for material provenance tracing by applying cross-sectoral learning, design science research, and IoT and blockchain technology. The framework includes four interconnected layers - business layer, IoT layer, blockchain layer, and application layer - to facilitate the management of quality, safety, payment, logistics, and sustainability. A pilot construction project in Hong Kong is used to illustrate and refine the framework, which shows great prospects but also faces challenges requiring future research, such as regulations, scalability, and information leakage risks.
JOURNAL OF INDUSTRIAL INFORMATION INTEGRATION
(2023)
Article
Construction & Building Technology
Xiaozhi Ma, Xiao Li, Hongping Yuan, Zhiming Huang, Tongwei Zhang
Summary: Although BIM is widely used in AECO industry, its implementation is hindered by the hybrid practice and sometimes fails to add value. This study proposes a framework relying on BI principles to justify effective BIM use and explicates the contextual factors in AECO practices. It provides a new perspective to address the issue of technological iteration in BIM practice.
Article
Environmental Sciences
Junjie Chen, Yonglin Fu, Weisheng Lu, Yipeng Pan
Summary: Construction waste sorting is crucial for waste management, but manual sorting poses risks while robotic sorting struggles with recognition. This research developed a human-robot collaboration system using augmented reality to improve sorting accuracy and occupational safety. Results showed a significant improvement in efficiency and safety with the AR-enabled HRC method.
JOURNAL OF ENVIRONMENTAL MANAGEMENT
(2023)
Article
Construction & Building Technology
Jia Liang, Qipeng Zhang, Xingyu Gu
Summary: A lightweight PCSNet-based segmentation model is developed to address the issues of insufficient performance in feature extraction and boundary loss information. The introduction of generalized Dice loss improves prediction performance, and the visualization of class activation mapping enhances model interpretability.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Gilsu Jeong, Minhyuk Jung, Seongeun Park, Moonseo Park, Changbum Ryan Ahn
Summary: This study introduces a contextual audio-visual approach to recognize multi-equipment activities in tunnel construction sites, improving monitoring effectiveness. Tested against real-world operation data, the model achieved remarkable results, emphasizing the potential of contextual multimodal models in enhancing operational efficiency in complex construction sites.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Jin Wang, Zhigao Zeng, Pradip Kumar Sharma, Osama Alfarraj, Amr Tolba, Jianming Zhang, Lei Wang
Summary: This study presents a dual-path network for pavement crack segmentation, combining Convolutional Neural Network (CNN) and transformer. A lightweight CNN encoder is used for local feature extraction, while a novel transformer encoder integrates high-low frequency attention mechanism and efficient feedforward network for global feature extraction. Additionally, a complementary fusion module is introduced to aggregate intermediate features extracted from both encoders. Evaluation on three datasets confirms the superior performance of the proposed network.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Pierre Gilibert, Romain Mesnil, Olivier Baverel
Summary: This paper introduces a flexible method for crafting 2D assemblies adaptable to various geometric assumptions in the realm of sustainable construction. By utilizing digital fabrication technologies and optimization approaches, precise control over demountable buildings can be achieved, improving mechanical performance and sustainability.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Jorge Loy-Benitez, Myung Kyu Song, Yo-Hyun Choi, Je-Kyum Lee, Sean Seungwon Lee
Summary: This paper discusses the advancement of tunnel boring machines (TBM) through the application of artificial intelligence. It highlights the significance of AI-based management subsystems for automatic TBM operations and presents recent contributions in this field. The paper evaluates modeling, monitoring, and control subsystems and suggests research paths for integrating existing management subsystems into TBM automation.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Alireza Shamshiri, Kyeong Rok Ryu, June Young Park
Summary: This paper reviews the application of text mining and natural language processing in the construction field, highlighting the need for automation and minimizing manual tasks. The study identifies potential research opportunities in strengthening overlooked construction aspects, coupling diverse data formats, and leveraging pre-trained language models and reinforcement learning.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zhengyi Chen, Hao Wang, Keyu Chen, Changhao Song, Xiao Zhang, Boyu Wang, Jack C. P. Cheng
Summary: This study proposes an improved coverage path planning system that leverages building information modeling and robotic configurations to optimize coverage performance in indoor environments. Experimental validation shows the effectiveness and applicability of the system. Future research will focus on further enhancing coverage ratio and optimizing computation time.
AUTOMATION IN CONSTRUCTION
(2024)
Review
Construction & Building Technology
Yonglin Fu, Junjie Chen, Weisheng Lu
Summary: This study presents a review of human-robot collaboration (HRC) in modular construction manufacturing (MCM), focusing on tasks, human roles, and interaction levels. The review found that HRC solutions are applicable to various MCM tasks, with a primary focus on timber component production. It also revealed the diverse collaborative roles humans can play and the varying levels of interaction with robots.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Qiong Liu, Shengbo Cheng, Chang Sun, Kailun Chen, Wengui Li, Vivian W. Y. Tam
Summary: This paper presents an approach to enhance the path-following capability of concrete printing by integrating steel cables into the printed mortar strips, and validates the feasibility and effectiveness of this approach through experiments.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Honghu Chu, Lu Deng, Huaqing Yuan, Lizhi Long, Jingjing Guo
Summary: The study proposes a method called Cascade CATransUNet for high-resolution crack image segmentation. This method combines the coordinate attention mechanism and self-cascaded design to accurately segment cracks. Through a customized feature extraction architecture and an optimized boundary loss function, the proposed method achieves impressive segmentation performance on HR images and demonstrates its practicality in UAV crack detection tasks.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Daniel Lamas, Andres Justo, Mario Soilan, Belen Riveiro
Summary: This paper introduces a new method for creating synthetic point clouds of truss bridges and demonstrates the effectiveness of a deep learning approach for semantic and instance segmentation of these point clouds. The proposed methodology has significant implications for the development of automated inspection and monitoring systems for truss bridges.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Kahyun Jeon, Ghang Lee, Seongmin Yang, Yonghan Kim, Seungah Suh
Summary: This study proposes two enhanced unsupervised text classification methods for domain-specific non-English text. The results of the tests show that these methods achieve excellent performance on Korean building defect complaints, outperforming state-of-the-art zero-shot and few-shot text classification methods, with minimal data preparation effort and computing resources.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Yoonhwa Jung, Julia Hockenmaier, Mani Golparvar-Fard
Summary: This study introduces a transformer-based natural language processing model, UNIfORMATBRIDGE, that automatically labels activities in a project schedule with Uniformat classification. Experimental results show that the model performs well in matching unstructured schedule data to Uniformat classifications. Additionally, the study highlights the importance of this method in developing new techniques.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
De-Graft Joe Opoku, Srinath Perera, Robert Osei-Kyei, Maria Rashidi, Keivan Bamdad, Tosin Famakinwa
Summary: This paper introduces a digital twin technology combining Building Information Modelling and the Internet of Things for the construction industry, aiming to optimize building conditions. The technology is implemented in a university library, successfully achieving real-time data capture and visual representation of internal conditions.
AUTOMATION IN CONSTRUCTION
(2024)
Article
Construction & Building Technology
Zaolin Pan, Yantao Yu
Summary: The construction industry faces safety and workforce shortages globally, and worker-robot collaboration is seen as a solution. However, robots face challenges in recognizing worker intentions in construction. This study tackles these challenges by proposing a fusion method and investigating the best granularity for recognizing worker intentions. The results show that the proposed method can recognize multi-granular worker intentions effectively, contributing to seamless worker-robot collaboration in construction.
AUTOMATION IN CONSTRUCTION
(2024)
