Integrating Building Information Modeling and Prefabrication Housing Production

Li, Xiao; Shen, Geoffrey Qiping; Wu, Peng; Teng, Yue

doi:10.1016/j.autcon.2018.12.024

Cited by 168 publications

(105 citation statements)

References 58 publications

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“…The factors are grouped into political, economic, social, and technological factors, which should be considered to determine the optimal level of pre-fabrication. Li et al (2019) found that constraint management is of vital importance in building information modeling for pre-fabricated houses. Song et al (2005) and Tam et al (2007) found that a successful implementation of modular and off-site construction techniques requires early decision making and analyses based on the specific project's circumstances.…”

Section: Pros and Cons Of Modular And Off-site Constructionmentioning

confidence: 99%

Mass Customization in the House Building Industry: Literature Review and Research Directions

Larsen

Lindhard

Brunoe

et al. 2019

Front. Built Environ.

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Mass customization is a manufacturing paradigm that enables customized and personalized design at a cost near mass production. Mass customization's ability to lower unit cost, increase quality, and shorten project duration for customized offerings is considered highly relevant for tomorrow's house building industry. Therefore, through a literature review, this research investigates state-of-the-art in mass customization in the house building industry from four perspectives: (1) mass customization in the house building industry, (2) modular and off-site construction, (3) construction supply chains, and (4) customer satisfaction. It is concluded that a great potential exists for applying mass customization in the house building industry. However, despite its potential, research on mass customization in the house building industry is sparse. In particular, research on developing the solution space and choice navigation tools is limited in this industry.

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Section: Pros and Cons Of Modular And Off-site Constructionmentioning

confidence: 99%

Mass Customization in the House Building Industry: Literature Review and Research Directions

Larsen

Lindhard

Brunoe

et al. 2019

Front. Built Environ.

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“…They concluded that the schedule delay was mainly caused by the design information gap between designers and manufacturers, the low interoperability between different enterprises and the delivery delay of prefabricated products. To improve the visibility and traceability of prefabricated products, the internet of things (IoT)-enabled Building Information Modeling (BIM) platform was suggested for achieving just-in-time (JIT) coordination [8][9][10]. These studies are helpful to mitigate the uncertainties within phase schedule.…”

Section: Prefabrication Housing Production (Php) In Hong Kongmentioning

confidence: 99%

Modeling Constraints for the On-Site Assembly Process of Prefabrication Housing Production: A Social Network Analysis

Gong

Teng

et al. 2019

Sustainability

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Although prefabrication housing production (PHP) has been widely advocated with advantages like ensured good quality and secured workplaces, its poor interoperability and fragmentation still causes various constraints, limiting the progress of projects. This paper aims to model the constraints and their relationships in task executions of different trades during the on-site assembly process of PHP. It was conducted through a typical PHP case study in Hong Kong to identify the critical trade associated constraints and their links during the on-site assembly process. Original data were collected by semi-structured interview, Delphi survey and questionnaire with representative professionals from the case. Social Network Analysis (SNA) was used to model the constraints and their interrelationships. The results indicated that seven trade-associated constraints were worth more attention. Three significant challenges were determined, indicating that the on-site team should focus on the availability of labor resources, optimal installation planning and effectiveness of communication mechanism. Smart work packaging (SWP)-enabled system for achieving automatic constraint identification and dynamic constraint relationship mapping under different constraint scenarios was suggested. This paper offers practical insights for scholars to conduct a trade-associated constraint identification study in the network manner and is expected to benefit practitioners on using the results for decision-making.

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“…Moreover, the manufacturer may learn from other benchmark manufacturers through interactions among manufacturers. All agents' decisions may adjust dynamically, with the products' green degree changing accordingly [34]. As a result, the green degree of the manufacturing industry evolves nonlinearly.…”

Section: Agent-based Modelingmentioning

confidence: 99%

Manufacturers’ Green Decision Evolution Based on Multi‐Agent Modeling

Zhu

Meng

et al. 2019

Complexity

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The development of green products is gradually becoming important due to serious ecological issues. In this study, an agent-based model is developed to visualize and analyze the evolution of green decision-making in the manufacturing industry. Based on this agent-based model, the macrobehaviors of manufacturers, consumers, and products are analyzed and simulated. Our results show that, first, the manufacturing industry emerges showing a “convergence” effect. The manufacturers may overestimate the consumers’ green degree demand, but this gradually gets corrected through the mechanisms of market competition. Second, as consumer income increases, it becomes easier for manufacturers to adapt to the market’s supply and demand as impacted by the products’ green degrees, and it becomes unfavorable for them to form a monopoly in the market. Furthermore, the profit of manufacturers is mainly derived from the sales and gradually gets more influenced by the products’ green degree when the consumer income increases.

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Integrating Building Information Modeling and Prefabrication Housing Production

Cited by 168 publications

References 58 publications

Mass Customization in the House Building Industry: Literature Review and Research Directions

Mass Customization in the House Building Industry: Literature Review and Research Directions

Modeling Constraints for the On-Site Assembly Process of Prefabrication Housing Production: A Social Network Analysis

Manufacturers’ Green Decision Evolution Based on Multi‐Agent Modeling

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