Research on collaborative scheduling of multiple projects of prefabricated building based on the niche genetic-raccoon family optimization algorithm

Wang, Junwu; Song, Yinghui; Lu, Jiequn; Xiang, Shijun

doi:10.1016/j.aej.2022.08.054

Cited by 5 publications

(3 citation statements)

References 41 publications

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“…This paper conducts bibliometric and visualization analysis of production scheduling literature in Scopus database by using VOS viewer analysis software, and deeply study the current status of a series of methods and optimization tech- niques that have been developed and adopted in recent years in the area of production scheduling for prefabricated buildings, and summarize that hotspots of production scheduling are mainly classified into three categories: optimization algorithms, scheduling models, and factors of the production environment (Song et al, 2023). This paper examines the general trends in production scheduling for prefabricated buildings over the past decade and provides insights into the technologies and methods that have been able to optimize the production scheduling problem in recent years.…”

Section: Discussionmentioning

confidence: 99%

A Review of Production Scheduling for Prefabricated Building Components

Zhang,

Chen

et al. 2024

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The development of prefabricated buildings is changing rapidly, and production scheduling has an important impact on its development, so the optimization of production scheduling for prefabricated building components has been of particular concern to the construction industry in recent years. This paper conducts bibliometric and visuals analysis of production scheduling literature in the Scopus database by using VOS viewer analysis software, and study in-depth a series of methods and optimization techniques developed and adopted in recent years for production scheduling of prefabricated buildings. This paper summarizes the general trends in production scheduling for prefabricated buildings in the last decade and provides insights into the technologies and methods that have enabled the optimization of production scheduling problems in recent years. The potential for effective integration and consolidation between these new technologies in the context of production scheduling is also explored in the future with the rise of emerging technologies such as artificial intelligence techniques and machine learning. In conclusion, production scheduling optimization methods for prefabricated buildings should be continuously innovated and effectively integrated so as to effectively promote the development of prefabricated buildings and accelerate the transformation and upgrading of the construction industry.

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Section: Discussionmentioning

confidence: 99%

A Review of Production Scheduling for Prefabricated Building Components

Zhang,

Chen

et al. 2024

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“…Prefabricated buildings have become a significant construction method in the contemporary construction industry due to their significant contributions to energy efficiency and emission reduction, continuously developing technology, and higher building standards [1][2][3][4]. The core of prefabricated building lies in the assembly of prefabricated components using mechanical equipment, which offers high production efficiency and environmental friendliness [5]. The construction industry is currently facing a very severe issue, namely, the excessive exploitation of natural resources, leading to price increases for various construction raw materials, and a decreasing annual usage of some materials.…”

Section: Introductionmentioning

confidence: 99%

Mechanical Properties and Loading Simulation of Unidirectional Laminated Slabs Made from Recycled Concrete with Manufactured Sand

Huang,

Wang,

Wang

et al. 2024

Buildings

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To align with the trend of the development of prefabricated buildings, this study aimed to produce unidirectional laminated slabs by using recycled concrete with manufactured sand (RCM). Additionally, performance evaluation and loading simulation analyses were conducted on these unidirectional laminated slabs. The experimental results indicate that the mechanical characteristics of RCM closely approximate those of recycled aggregate concrete (RAC), and they are all higher than the design value. Under ultimate loading conditions, the mid-span deflection of laminated slabs fabricated with RCM surpasses its RAC counterpart by 5.9%, indicating a pronounced proximity in flexural performance between RCM and RAC laminated slabs. Concurrently, ABAQUS finite element software was used to compare and simulate the performance of the unidirectional laminated slabs. The difference between the deflection generated by the actual applied ultimate load and the deflection generated by the simulated ultimate load is about 7.1%, and the simulation results are very close to the experimental results. Based on the experimental results, the practical application of RCM unidirectional laminated slabs has high value in the field of construction engineering.

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“…A building assembled by prefabricated components on the construction site is called a prefabricated building [1][2][3][4][5][6]. On September 27, 2016, the State Council issued the Guidelines on Vigorously Developing Prefabricated Buildings by the General Office of the State Council, which clearly defined the key areas for vigorously developing prefabricated buildings and steel structures, the proportion of prefabricated buildings in new buildings in the future, and the key cities for developing them [7][8][9][10][11].…”

Section: Introductionmentioning

confidence: 99%

Calibration Method of Feature Point Layout in Prefabricated Buildings Based on Image Recognition Technology

Sun¹,

Yang²,

Ji³

2023

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Compared with other types of buildings, it is more difficult and demanding to calibrate the image layout of irregular prefabricated buildings. How to effectively extract the layout calibration feature information of the prefabricated buildings and how to ensure the accuracy of the calibration method have become the main problems to be solved in the field of image recognition. Therefore, this paper studied the calibration method of feature point layout of prefabricated buildings based on image recognition technology. Based on the task of extracting feature points in the above prefabricated building images, this paper proposed a new feature extraction network suitable for these feature points, and described its principle in detail. With the help of deep learning technology, this paper enhanced the feature description of prefabricated building image blocks based on feature point location information, and introduced in detail the constructed algorithm model of feature point extraction and description. The experimental results verified the feature point extraction model was effective in calibrating the feature point layout of the prefabricated buildings.

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Research on collaborative scheduling of multiple projects of prefabricated building based on the niche genetic-raccoon family optimization algorithm

Cited by 5 publications

References 41 publications

A Review of Production Scheduling for Prefabricated Building Components

A Review of Production Scheduling for Prefabricated Building Components

Mechanical Properties and Loading Simulation of Unidirectional Laminated Slabs Made from Recycled Concrete with Manufactured Sand

Calibration Method of Feature Point Layout in Prefabricated Buildings Based on Image Recognition Technology

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