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The integration of generative design (GD) and building information modelling (BIM), as a new technology consolidation, can facilitate the constructability of GD’s automatic design solutions, while improving BIM’s capability in the early design phase. Thus, there has been an increasing interest to study GD-BIM, with current focuses mainly on exploring applications and investigating tools. However, there are a lack of studies regarding methodological relationships and skill requirement based on different development objectives or GD properties; thus, the threshold of developing GD-BIM still seems high. This study conducts a critical review of current approaches for developing GD in BIM, and analyses methodological relationships, skill requirements, and improvement of GD-BIM development. Accordingly, novel perspectives of objective-oriented, GD component-based, and skill-driven GD-BIM development as well as reference guides are proposed. Finally, future research directions, challenges, and potential solutions are discussed. This research aims to guide designers in the building industry to properly determine approaches for developing GD-BIM and inspire researchers’ future studies.
Wei Ma; Xiangyu Wang; Jun Wang; Xiaolei Xiang; Junbo Sun. Generative Design in Building Information Modelling (BIM): Approaches and Requirements. Sensors 2021, 21, 5439 .
AMA StyleWei Ma, Xiangyu Wang, Jun Wang, Xiaolei Xiang, Junbo Sun. Generative Design in Building Information Modelling (BIM): Approaches and Requirements. Sensors. 2021; 21 (16):5439.
Chicago/Turabian StyleWei Ma; Xiangyu Wang; Jun Wang; Xiaolei Xiang; Junbo Sun. 2021. "Generative Design in Building Information Modelling (BIM): Approaches and Requirements." Sensors 21, no. 16: 5439.
This article provides a picture of the latest developments in providing BIM-based tools for construction and demolition waste (CDW) management. The coverage and breadth of the literature on offering BIM-based tools and technologies for dealing with CDW throughout the whole life cycle of construction are investigated, and gaps are identified. Findings reveal that, although various BIM-based technologies are closely associated with CDW, much of the existing research on this area has focused on the design and construction phase; indeed, the problem of CDW in post-construction stages has received scant attention. Besides, the now available tools and technologies are lacking in cross-phase insights into project waste aspects and are weak in theoretical rigor. This article contributes to the field by identifying the intellectual deficiencies in offering BIM-based tools and technologies when dealing with CDW. So, too, it points to major priorities for future research on the topic. For practitioners, the study provides a point of reference and raises awareness in the field about the most advanced available BIM-based technologies for dealing with CDW problems.
Bahareh Nikmehr; M. Hosseini; Jun Wang; Nicholas Chileshe; Raufdeen Rameezdeen. BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review. Sustainability 2021, 13, 8427 .
AMA StyleBahareh Nikmehr, M. Hosseini, Jun Wang, Nicholas Chileshe, Raufdeen Rameezdeen. BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review. Sustainability. 2021; 13 (15):8427.
Chicago/Turabian StyleBahareh Nikmehr; M. Hosseini; Jun Wang; Nicholas Chileshe; Raufdeen Rameezdeen. 2021. "BIM-Based Tools for Managing Construction and Demolition Waste (CDW): A Scoping Review." Sustainability 13, no. 15: 8427.
In recent years, interest in BIM and GIS applications in civil engineering has been growing. For bridge engineering, BIM/GIS applications such as simulation, visualization, and secondary development have been used to assist practitioners in managing bridge construction and decision-making, including selection of bridge location maintenance decisions. In situ 3D modelling of existing bridges with detailed images from UAV camera has allowed engineers to conduct remote condition assessments of bridges and decide on required maintenance actions. Several studies have investigated the applications of BIM/GIS technology on bridge projects. However, there has been limited focus on reviewing the outcomes of these studies to identify the limitations of BIM and GIS applications on bridge projects. Therefore, the aim of this study was to review the research on BIM/GIS technology applications in bridge projects over the last decade. Using a systematic review process, a total of 90 publications that met the inclusion criteria were reviewed in this study. The review identified the state-of-the-art methods of BIM and GIS applications, respectively, at the planning and design, construction, and operation and maintenance phases of bridge projects. However, the findings point to segregated application of BIM and GIS at all phases of bridge projects. The findings of this study will contribute to guiding practitioners in selecting appropriate BIM and GIS technologies for different aspects of bridge projects.
Jiangang Wei; Gang Chen; Jizhuo Huang; Li Xu; Yan Yang; Jun Wang; Abdul-Manan Sadick. BIM and GIS Applications in Bridge Projects: A Critical Review. Applied Sciences 2021, 11, 6207 .
AMA StyleJiangang Wei, Gang Chen, Jizhuo Huang, Li Xu, Yan Yang, Jun Wang, Abdul-Manan Sadick. BIM and GIS Applications in Bridge Projects: A Critical Review. Applied Sciences. 2021; 11 (13):6207.
Chicago/Turabian StyleJiangang Wei; Gang Chen; Jizhuo Huang; Li Xu; Yan Yang; Jun Wang; Abdul-Manan Sadick. 2021. "BIM and GIS Applications in Bridge Projects: A Critical Review." Applied Sciences 11, no. 13: 6207.
Scaffolding serves as one construction trade with high importance. However, scaffolding suffers from low productivity and high cost in Australia. Activity Analysis is a continuous procedure of assessing and improving the amount of time that craft workers spend on one single construction trade, which is a functional method for monitoring onsite operation and analyzing conditions causing delays or productivity decline. Workface assessment is an initial step for activity analysis to manually record the time that workers spend on each activity category. This paper proposes a method of automatic scaffolding workface assessment using a 2D video camera to capture scaffolding activities and the model of key joints and skeleton extraction, as well as machine learning classifiers, were used for activity classification. Additionally, a case study was conducted and showed that the proposed method is a feasible and practical way for automatic scaffolding workface assessment.
Wenzheng Ying; Wenchi Shou; Jun Wang; Weixiang Shi; Yanhui Sun; Dazhi Ji; Haoxuan Gai; Xiangyu Wang; Mengcheng Chen. Automatic Scaffolding Workface Assessment for Activity Analysis through Machine Learning. Applied Sciences 2021, 11, 4143 .
AMA StyleWenzheng Ying, Wenchi Shou, Jun Wang, Weixiang Shi, Yanhui Sun, Dazhi Ji, Haoxuan Gai, Xiangyu Wang, Mengcheng Chen. Automatic Scaffolding Workface Assessment for Activity Analysis through Machine Learning. Applied Sciences. 2021; 11 (9):4143.
Chicago/Turabian StyleWenzheng Ying; Wenchi Shou; Jun Wang; Weixiang Shi; Yanhui Sun; Dazhi Ji; Haoxuan Gai; Xiangyu Wang; Mengcheng Chen. 2021. "Automatic Scaffolding Workface Assessment for Activity Analysis through Machine Learning." Applied Sciences 11, no. 9: 4143.
Pavement markings constitute an effective way of conveying regulations and guidance to drivers. They constitute the most fundamental way to communicate with road users, thus, greatly contributing to ensuring safety and order on roads. However, due to the increasingly extensive traffic demand, pavement markings are subject to a series of deterioration issues (e.g., wear and tear). Markings in poor condition typically manifest as being blurred or even missing in certain places. The need for proper maintenance strategies on roadway markings, such as repainting, can only be determined based on a comprehensive understanding of their as-is worn condition. Given the fact that an efficient, automated and accurate approach to collect such condition information is lacking in practice, this study proposes a vision-based framework for pavement marking detection and condition assessment. A hybrid feature detector and a threshold-based method were used for line marking identification and classification. For each identified line marking, its worn/blurred severity level was then quantified in terms of worn percentage at a pixel level. The damage estimation results were compared to manual measurements for evaluation, indicating that the proposed method is capable of providing indicative knowledge about the as-is condition of pavement markings. This paper demonstrates the promising potential of computer vision in the infrastructure sector, in terms of implementing a wider range of managerial operations for roadway management.
Shuyuan Xu; Jun Wang; Peng Wu; Wenchi Shou; Xiangyu Wang; Mengcheng Chen. Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study. Applied Sciences 2021, 11, 3152 .
AMA StyleShuyuan Xu, Jun Wang, Peng Wu, Wenchi Shou, Xiangyu Wang, Mengcheng Chen. Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study. Applied Sciences. 2021; 11 (7):3152.
Chicago/Turabian StyleShuyuan Xu; Jun Wang; Peng Wu; Wenchi Shou; Xiangyu Wang; Mengcheng Chen. 2021. "Vision-Based Pavement Marking Detection and Condition Assessment—A Case Study." Applied Sciences 11, no. 7: 3152.
Predicting evacuation patterns is useful in emergency management situations such as an earthquake. To find out how pre-trained individuals interact with one another to achieve their own goal to reach the exit as fast as possible firstly, we investigated urban people’s evacuation behavior under earthquake disaster coditions, established crowd response rules in emergencies, and described the drill strategy and exit familiarity quantitatively through a cellular automata model. By setting different exit familiarity ratios, simulation experiments under different strategies were conducted to predict people’s reactions before an emergency. The corresponding simulation results indicated that the evacuees’ training level could affect a multi-exit zone’s evacuation pattern and clearance time. Their exit choice preferences may disrupt the exit options’ balance, leading to congestion in some of the exits. Secondly, due to people’s rejection of long distances, congestion, and unfamiliar exits, some people would hesitant about the evacuation direction during the evacuation process. This hesitation would also significantly reduce the overall evacuation efficiency. Finally, taking a community in Zhuhai City, China, as an example, put forward the best urban evacuation drill strategy. The quantitative relation between exit familiar level and evacuation efficiency was obtained. The final results showed that the optimized evacuation plan could improve evacuation’s overall efficiency through the self-organization effect. These studies may have some impact on predicting crowd behavior during evacuation and designing the evacuation plan.
Hai Sun; LanLing Hu; Wenchi Shou; Jun Wang. Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology. Sensors 2021, 21, 1353 .
AMA StyleHai Sun, LanLing Hu, Wenchi Shou, Jun Wang. Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology. Sensors. 2021; 21 (4):1353.
Chicago/Turabian StyleHai Sun; LanLing Hu; Wenchi Shou; Jun Wang. 2021. "Self-Organized Crowd Dynamics: Research on Earthquake Emergency Response Patterns of Drill-Trained Individuals Based on GIS and Multi-Agent Systems Methodology." Sensors 21, no. 4: 1353.
Computer vision has been gaining interest in a wide range of research areas in recent years, from medical to industrial robotics. The architecture, engineering and construction and facility management sector ranks as one of the most intensive fields where vision-based systems/methods are used to facilitate decision making processes during the construction phase. Construction sites make efficient monitoring extremely tedious and difficult due to clutter and disorder. Extensive research has been carried out to investigate the potential to utilise computer vision for assisting on-site managerial tasks. This paper reviews studies on computer vision in the past decade, with a focus on state-of-the-art methods in a typical vision-based scheme, and discusses challenges associated with their application. This research aims to guide practitioners to successfully find suitable approaches for a particular project.
Shuyuan Xu; Jun Wang; Wenchi Shou; Tuan Ngo; Abdul-Manan Sadick; Xiangyu Wang. Computer Vision Techniques in Construction: A Critical Review. Archives of Computational Methods in Engineering 2020, 28, 3383 -3397.
AMA StyleShuyuan Xu, Jun Wang, Wenchi Shou, Tuan Ngo, Abdul-Manan Sadick, Xiangyu Wang. Computer Vision Techniques in Construction: A Critical Review. Archives of Computational Methods in Engineering. 2020; 28 (5):3383-3397.
Chicago/Turabian StyleShuyuan Xu; Jun Wang; Wenchi Shou; Tuan Ngo; Abdul-Manan Sadick; Xiangyu Wang. 2020. "Computer Vision Techniques in Construction: A Critical Review." Archives of Computational Methods in Engineering 28, no. 5: 3383-3397.
Off-site construction has been increasingly employed due to its advantages, for instance, improved quality control, reduced skills labour, faster construction time, decreased material wastage and safe working environment. As the most cutting-edge off-site construction, modular buildings have been utilised for residential building, student accommodation, and hotel projects. However, because of existing and underlying constraints, the adoption of modular buildings is still relatively low. To reveal factors hindering the development of high-rise modular buildings, a comprehensive literature review, coupled with a focus group study, were conducted. A questionnaire survey inquiring about all stakeholders was implemented to quantify constraints. The results were further examined according to a real-life case study. This paper manifested that “Lack of coordination and communication among stakeholders”, “Higher cost”, “Lack of government support”, “Lack of experience and expertise”, “Lack of building codes and standards”, “Poor supply chain integration”, and “Complexity of connection” are the top barriers curbing the uptake of modular buildings. The findings should provide a valuable reference for stakeholders adopting modular buildings, whilst mitigating risks amid modular construction. Future research is expected to exploit building information modelling and design for manufacture and assembly to alleviate these existing constraints and promote the performance of modular construction as well.
Yanhui Sun; Jun Wang; Jeremy Wu; Weixiang Shi; Dazhi Ji; Xiangyu Wang; Xianzhong Zhao. Constraints Hindering the Development of High-Rise Modular Buildings. Applied Sciences 2020, 10, 7159 .
AMA StyleYanhui Sun, Jun Wang, Jeremy Wu, Weixiang Shi, Dazhi Ji, Xiangyu Wang, Xianzhong Zhao. Constraints Hindering the Development of High-Rise Modular Buildings. Applied Sciences. 2020; 10 (20):7159.
Chicago/Turabian StyleYanhui Sun; Jun Wang; Jeremy Wu; Weixiang Shi; Dazhi Ji; Xiangyu Wang; Xianzhong Zhao. 2020. "Constraints Hindering the Development of High-Rise Modular Buildings." Applied Sciences 10, no. 20: 7159.
PurposeThe operational phase of a building's lifecycle is receiving increasing attention, as it consumes an enormous amount of energy and results in tremendous detrimental impacts on the environment. While energy simulation can be applied as a tool to evaluate the energy performance of a building in operation, the emergence of Building Information Modeling (BIM) technology is expected to facilitate the evaluation process with predefined and enriched building information. However, such an approach has been confronted by the challenge of interoperability issues among the related application software, including the BIM tools and energy simulation tools, and the results of simulation have been seldom verified due to the unavailability of corresponding experimental data. This study aims to explore the interoperability between the commonly used energy simulation and BIM tools and verifies the simulation approach by undertaking a case study.Design/methodology/approachWith Autodesk Revit and EnergyPlus selected as the commonly used BIM and energy simulation tools, respectively, a valid technical framework of transferring building information between two tools is proposed, and the interoperability issues that occur during the data transfer are studied. The proposed framework is then employed to simulate the energy consumption of a single-family house, and sensitivity analysis and analysis on such parameters as schedule are conducted for building operations to showcase its applicability.FindingsThe simulation results are compared with monitored data and the results from another simulation tool, HOT2000; the comparison reveals that EnergyPlus and HOT2000 predict the total energy consumption with a difference from the monitoring data of 8.0 and 7.1%, respectively.Practical implicationsThis research shows how to efficiently use BIM to support building energy simulation. Relevant stakeholders can learn from this research to avoid data loss during BIM model transformation.Originality/valueThis research explores the application of BIM for building energy simulation, compares the simulation results among different tools and validates simulation results using monitored data.
Hong Xian Li; Zhiliang Ma; HeXu Liu; Jun Wang; Mohamed Al-Hussein; Anthony Mills. Exploring and verifying BIM-based energy simulation for building operations. Engineering, Construction and Architectural Management 2020, 27, 1679 -1702.
AMA StyleHong Xian Li, Zhiliang Ma, HeXu Liu, Jun Wang, Mohamed Al-Hussein, Anthony Mills. Exploring and verifying BIM-based energy simulation for building operations. Engineering, Construction and Architectural Management. 2020; 27 (8):1679-1702.
Chicago/Turabian StyleHong Xian Li; Zhiliang Ma; HeXu Liu; Jun Wang; Mohamed Al-Hussein; Anthony Mills. 2020. "Exploring and verifying BIM-based energy simulation for building operations." Engineering, Construction and Architectural Management 27, no. 8: 1679-1702.
New developments in intelligent devices for assisting elderly people can provide elders with friendly, mutual, and personalized interactions. Since the intelligent devices should continually make an important contribution to the smart elderly care industry, smart services or policies for the elders are recently provided by a large number of government programs in China. At present, the smart elderly care industry in China has attracted numerous investors’ attention, but the smart elderly care industry in China is still at the beginning stage. Though there are great opportunities in the market, many challenges and limitations still need to be solved. This study analyzes 198 news reports about opportunities and challenges in the smart elderly care industry from six major Chinese portals. The analysis is mainly based on needs assessment for elderly people, service providers, and the Chinese government. It is concluded that smart elderly care services satisfy the elders’ mental wants and that needs for improving modernization services are the most frequently mentioned opportunities. Also, the frequently mentioned challenges behind opportunities are intelligent products not being able to solve the just-needed, user-consumption concept and the ability to pay, which is the most frequently mentioned challenge. The results of this study will enable stakeholders in the smart elderly care industry to clarify the opportunities and challenges faced by smart elderly care services in China’s development process and provide a theoretical basis for better decision making.
Qingfeng Meng; Ziming Hong; Zhen Li; Xin Hu; Weixiang Shi; Jun Wang; Kai Luo. Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences. Frontiers in Psychology 2020, 11, 1 .
AMA StyleQingfeng Meng, Ziming Hong, Zhen Li, Xin Hu, Weixiang Shi, Jun Wang, Kai Luo. Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences. Frontiers in Psychology. 2020; 11 ():1.
Chicago/Turabian StyleQingfeng Meng; Ziming Hong; Zhen Li; Xin Hu; Weixiang Shi; Jun Wang; Kai Luo. 2020. "Opportunities and Challenges for Chinese Elderly Care Industry in Smart Environment Based on Occupants’ Needs and Preferences." Frontiers in Psychology 11, no. : 1.
PurposeThe purpose of this paper is to summarize the current applications of BIM, the integration of related technologies and the tendencies and challenges systematically.Design/methodology/approachUsing quantitative and qualitative bibliometric statistical methods, the current mode of interaction between BIM and other related technologies is summarized.FindingsThis paper identified 24 different BIM applications in the life cycle. From two perspectives, the implementation status of BIM applications and integrated technologies are respectively studied. The future industry development framework is drawn comprehensively. We summarized the challenges of BIM applications from the perspectives of management, technology and promotion, and confirmed that most of the challenges come from the two driving factors of promotion and management.Research limitations/implicationsThe technical challenges reviewed in this paper are from the collected literature we have extracted, which is only a part of the practical challenges and not comprehensive enough.Practical implicationsWe summarized the current mode of interactive use of BIM and sorted out the challenges faced by BIM applications to provide reference for the risks and challenges faced by the future industry.Originality/valueThere is little literature to integrate BIM applications and to establish BIM related challenges and risk frameworks. In this paper, we provide a review of the current implementation level of BIM and the risks and challenges of stakeholders through three aspects of management, technology and promotion.
Qingfeng Meng; Yifan Zhang; Zhen Li; Weixiang Shi; Jun Wang; Yanhui Sun; Li Xu; Xiangyu Wang. A review of integrated applications of BIM and related technologies in whole building life cycle. Engineering, Construction and Architectural Management 2020, 27, 1647 -1677.
AMA StyleQingfeng Meng, Yifan Zhang, Zhen Li, Weixiang Shi, Jun Wang, Yanhui Sun, Li Xu, Xiangyu Wang. A review of integrated applications of BIM and related technologies in whole building life cycle. Engineering, Construction and Architectural Management. 2020; 27 (8):1647-1677.
Chicago/Turabian StyleQingfeng Meng; Yifan Zhang; Zhen Li; Weixiang Shi; Jun Wang; Yanhui Sun; Li Xu; Xiangyu Wang. 2020. "A review of integrated applications of BIM and related technologies in whole building life cycle." Engineering, Construction and Architectural Management 27, no. 8: 1647-1677.
Lean production theory and techniques have been widely applied in the manufacturing and construction sectors to improve process efficiency by reducing the waste and increasing the value in the value streams. Turnaround maintenance (TAM) is a periodic comprehensive maintenance programme, in which the operations present a unique work scope and context and are conducted following a unique maintenance process. A well-organised project management process is essential to improve the operation efficiency of TAM. Therefore, this study aims to develop a systematic lean management framework based on value stream mapping and structured analysis, evaluation, and validation, specific to the TAM operation efficiency in Oil and Gas industry. Finally, the proposed framework is verified through a case study by using 4D building information modelling taken from a real life environment. The framework provides structured guidance and empirical evidence for using lean for integrating improvement and evaluation in TAM project management.
Wenchi Shou; Jun Wang; Peng Wu; Xiangyu Wang. Lean management framework for improving maintenance operation: development and application in the oil and gas industry. Production Planning & Control 2020, 32, 585 -602.
AMA StyleWenchi Shou, Jun Wang, Peng Wu, Xiangyu Wang. Lean management framework for improving maintenance operation: development and application in the oil and gas industry. Production Planning & Control. 2020; 32 (7):585-602.
Chicago/Turabian StyleWenchi Shou; Jun Wang; Peng Wu; Xiangyu Wang. 2020. "Lean management framework for improving maintenance operation: development and application in the oil and gas industry." Production Planning & Control 32, no. 7: 585-602.
Yuan-Hao Tsai; Jun Wang; Wei-Ting Chien; Chia-Ying Wei; Xiangyu Wang; Shang-Hsien Hsieh. A BIM-based approach for predicting corrosion under insulation. Automation in Construction 2019, 107, 1 .
AMA StyleYuan-Hao Tsai, Jun Wang, Wei-Ting Chien, Chia-Ying Wei, Xiangyu Wang, Shang-Hsien Hsieh. A BIM-based approach for predicting corrosion under insulation. Automation in Construction. 2019; 107 ():1.
Chicago/Turabian StyleYuan-Hao Tsai; Jun Wang; Wei-Ting Chien; Chia-Ying Wei; Xiangyu Wang; Shang-Hsien Hsieh. 2019. "A BIM-based approach for predicting corrosion under insulation." Automation in Construction 107, no. : 1.
Wenchi Shou; Jun Wang; Peng Wu; Xiangyu Wang. Value adding and non-value adding activities in turnaround maintenance process: classification, validation, and benefits. Production Planning & Control 2019, 31, 60 -77.
AMA StyleWenchi Shou, Jun Wang, Peng Wu, Xiangyu Wang. Value adding and non-value adding activities in turnaround maintenance process: classification, validation, and benefits. Production Planning & Control. 2019; 31 (1):60-77.
Chicago/Turabian StyleWenchi Shou; Jun Wang; Peng Wu; Xiangyu Wang. 2019. "Value adding and non-value adding activities in turnaround maintenance process: classification, validation, and benefits." Production Planning & Control 31, no. 1: 60-77.
Purpose Employing multi-type laborers (MLs) is common in multinational and cross-culture projects (MPCs). Different attributes of MLs can lead to uncertain and dynamic laborer behaviors (i.e. behavioral diversities), which may cause project deviations. Previous studies do not consider the uncertainties or dynamics of behaviors adequately or they only provide general suggestions. The purpose of this paper is to combine system dynamics (SD) and agent-based modeling (ABM) to build an integrated model. The proposed ABM-SD can gain better understanding of MLs’ behavioral diversities, reveal the associated impacts and improve project management. Design/methodology/approach Based on extensively review in construction labor management and computer simulation, architecture is built to depict the relationships between the affecting factors of MLs’ behaviors, MLs’ behavioral diversities and project performance. Second, conceptual structures of the ABM-SD model are developed. Third, methods to implement the model in practice are introduced, focusing on data collection and model structure adjustment. Finally, the model is tested in a case study. Findings Different ML groups have distinctive behaviors which constantly change through interactions between MLs, engineers and external environment. Inadequate consideration of the diversities can result in inaccurate estimation of productivity, work quality and absenteeism, causing severe project deviations such as schedule delay, cost overrun and high absenteeism. On the other hand, using the ABM-SD model, the root causes of project deviations are analyzed from the perspective of MLs’ behavioral diversities and the optimization of labor management can significantly improve project performance. Research limitations/implications This paper supplements previous studies because the ABM-SD model takes fully use of the strength of simulation of solving uncertain and dynamic problems and combines both qualitative and quantitative findings in existing studies of labor management. Besides, the ABM-SD model is also a practical management tool to better monitor laborer behaviors and forecast the impacts. The limitation is mainly about the small scale of the case study. However, the ABM-SD model already demonstrates the mechanism about how MLs’ different behaviors affect a project, which fulfill the aim of the study. Practical implications The ABM-SD model can simulate MLs’ behavioral diversities and produce reliable estimations of project performance. It also allows to optimize management plans. Furthermore, The ABM-SD model is adjustable based on specific project conditions, which make it applicable for different tasks, different laborer compositions and even different projects. Thus, the ABM-SD model can be a practical tool for engineers in MCPs. Originality/value SD and ABM are applied to study behaviors with well-known benefits in both separated and integrated manner. However, few studies use the approach to investigate MLs’ behaviors in MCPs. Hence, the proposed ABM-SD model is an original attempt to improve the laborer management level in MCPs.
Chengke Wu; ChunJiang Chen; Rui Jiang; Peng Wu; Bo Xu; Jun Wang. Understanding laborers’ behavioral diversities in multinational construction projects using integrated simulation approach. Engineering, Construction and Architectural Management 2019, 26, 2120 -2146.
AMA StyleChengke Wu, ChunJiang Chen, Rui Jiang, Peng Wu, Bo Xu, Jun Wang. Understanding laborers’ behavioral diversities in multinational construction projects using integrated simulation approach. Engineering, Construction and Architectural Management. 2019; 26 (9):2120-2146.
Chicago/Turabian StyleChengke Wu; ChunJiang Chen; Rui Jiang; Peng Wu; Bo Xu; Jun Wang. 2019. "Understanding laborers’ behavioral diversities in multinational construction projects using integrated simulation approach." Engineering, Construction and Architectural Management 26, no. 9: 2120-2146.
Han Luo; Moumita Das; Jun Wang; Jack C.P. Cheng. Construction Payment Automation through Smart Contract-based Blockchain Framework. Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC) 2019, 1254 -1260.
AMA StyleHan Luo, Moumita Das, Jun Wang, Jack C.P. Cheng. Construction Payment Automation through Smart Contract-based Blockchain Framework. Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC). 2019; ():1254-1260.
Chicago/Turabian StyleHan Luo; Moumita Das; Jun Wang; Jack C.P. Cheng. 2019. "Construction Payment Automation through Smart Contract-based Blockchain Framework." Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC) , no. : 1254-1260.
Shuyuan Xu; Jun Wang; Xiangyu Wang; Wenchi Shou. Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review. Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC) 2019, 672 -679.
AMA StyleShuyuan Xu, Jun Wang, Xiangyu Wang, Wenchi Shou. Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review. Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC). 2019; ():672-679.
Chicago/Turabian StyleShuyuan Xu; Jun Wang; Xiangyu Wang; Wenchi Shou. 2019. "Computer Vision Techniques in Construction, Operation and Maintenance Phases of Civil Assets: A Critical Review." Proceedings of the 36th International Symposium on Automation and Robotics in Construction (ISARC) , no. : 672-679.
With the increased size and complexity of liquefied natural gas (LNG) projects, supply-chain management has become a challenging process due to involvements of the remote location of the project site and the multiple stakeholders. The transparency and traceability of the supply-chain are critical as any surpluses or shortages of materials will put the project at risk. Currently, limited research has been conducted on LNG projects considering the total supply-chain perspective, which refers to all stages of materials tracking in off-site manufacturing, transportation, and site logistics. The purpose of this research is to propose a framework of a coordinated approach for supply-chain tracking in the LNG industry. Two focus group studies were organized to develop the proposed framework: One for LNG construction supply chain process development, and another for alternative tracking technologies selection. In addition, two experiments, namely off-site fabrication tracking and site logistics tracking, were conducted in a field to evaluate the feasibility of the proposed framework. Technology limitations were also discussed in terms of field implementation.
Jun Wang; Hung-Lin Chi; Wenchi Shou; Heap-Yih Chong; Xiangyu Wang. A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry. Sustainability 2018, 10, 4822 .
AMA StyleJun Wang, Hung-Lin Chi, Wenchi Shou, Heap-Yih Chong, Xiangyu Wang. A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry. Sustainability. 2018; 10 (12):4822.
Chicago/Turabian StyleJun Wang; Hung-Lin Chi; Wenchi Shou; Heap-Yih Chong; Xiangyu Wang. 2018. "A Coordinated Approach for Supply-Chain Tracking in the Liquefied Natural Gas Industry." Sustainability 10, no. 12: 4822.
Wenchi Shou; Jun Wang And Xiangyu Wang; Xiangyu Wang. 4D BIM for Improving Plant Turnaround Maintenance Planning and Execution: A Case Study. Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) 2018, 1191 -1198.
AMA StyleWenchi Shou, Jun Wang And Xiangyu Wang, Xiangyu Wang. 4D BIM for Improving Plant Turnaround Maintenance Planning and Execution: A Case Study. Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC). 2018; ():1191-1198.
Chicago/Turabian StyleWenchi Shou; Jun Wang And Xiangyu Wang; Xiangyu Wang. 2018. "4D BIM for Improving Plant Turnaround Maintenance Planning and Execution: A Case Study." Proceedings of the 35th International Symposium on Automation and Robotics in Construction (ISARC) , no. : 1191-1198.
Virtual Reality (VR) has been rapidly recognized and implemented in construction engineering education and training (CEET) in recent years due to its benefits of providing an engaging and immersive environment. The objective of this review is to critically collect and analyze the VR applications in CEET, aiming at all VR-related journal papers published from 1997 to 2017. The review follows a three-stage analysis on VR technologies, applications and future directions through a systematic analysis. It is found that the VR technologies adopted for CEET evolve over time, from desktop-based VR, immersive VR, 3D game-based VR, to Building Information Modelling (BIM)-enabled VR. A sibling technology, Augmented Reality (AR), for CEET adoptions has also emerged in recent years. These technologies have been applied in architecture and design visualization, construction health and safety training, equipment and operational task training, as well as structural analysis. Future research directions, including the integration of VR with emerging education paradigms and visualization technologies, have also been provided. The findings are useful for both researchers and educators to usefully integrate VR in their education and training programs to improve the training performance.
Peng Wang; Peng Wu; Jun Wang; Hung-Lin Chi; Xiangyu Wang. A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training. International Journal of Environmental Research and Public Health 2018, 15, 1204 .
AMA StylePeng Wang, Peng Wu, Jun Wang, Hung-Lin Chi, Xiangyu Wang. A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training. International Journal of Environmental Research and Public Health. 2018; 15 (6):1204.
Chicago/Turabian StylePeng Wang; Peng Wu; Jun Wang; Hung-Lin Chi; Xiangyu Wang. 2018. "A Critical Review of the Use of Virtual Reality in Construction Engineering Education and Training." International Journal of Environmental Research and Public Health 15, no. 6: 1204.