Component-level construction schedule optimization for hybrid concrete structures

Ma, Zhiliang; Li, Songyang; Wang, Yong; Yang, Zhenqing

doi:10.1016/j.autcon.2021.103607

Cited by 15 publications

(10 citation statements)

References 27 publications

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“…Figure 10 demonstrates that in the event that the delivery of the prefabricated components required in activity 9 is delayed by 2 days, the maximum completion time of the project is delayed by 24 days. Activities 10,11,12,13,20,21,22,23, and 24 all delayed the start time compared with the schedule in Figure 8. Especially for activity 20, even if all its predecessors have been executed on the 13th day, due to the constraints of renewable resources, activity 20 has to wait until the 16th day to start work.…”

Section: Simulation Resultsmentioning

confidence: 94%

“…Accordingly, it is difficult to directly apply the traditional scheduling method to the scheduling research of prefabricated buildings [18]. Some studies have tried to develop an effective assembly-type construction project scheduling method, including mathematical modeling optimization and simulation modeling [19][20][21][22]. However, these previous studies show that the traditional project scheduling technology often ignores the impact of untimely component supply on site construction, or model optimization is usually carried out on the premise of timely and quantitative supply of components.…”

Section: Introductionmentioning

confidence: 99%

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Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021

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Prefabricated buildings are the direction of the future development of the construction industry and have received widespread attention. The effective execution of prefabricated construction project scheduling should consider resource constraints and the supply arrangement of prefabricated components. However, the traditional construction resource-constrained project scheduling implementation method cannot simultaneously consider the characteristics of the linkage between component production and on-site assembly construction. It cannot also fully adapt to the scheduling implementation method of the prefabricated construction projects. It is difficult to work out a reasonable project schedule and resource allocation table. In order to determine the relevant schedule parameters that can reflect the actual construction situation of the prefabricated building and meet the scheduling requirements of the prefabricated project, this study proposes a prefabricated construction project scheduling model that considers project resource constraints and prefabricated component supply constraints. Additionally, it improves the design of traditional genetic algorithms (GAs). Research results of the experimental calculation and engineering application show that the proposed project scheduling optimization model and GA are effective and practical, which can help project managers in effectively formulating prefabricated construction project scheduling plans, reasonably allocating resources, reducing completion time, and improving project performance.

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Section: Simulation Resultsmentioning

confidence: 94%

Section: Introductionmentioning

confidence: 99%

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

2021

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“…Optimization algorithms determine the best solution by building a numerical model and solving heuristic algorithms, which are often used for scheduling and cost analysis. Heuristic algorithms currently used in SROSC include genetic algorithms (Dan et al 2021;Hyun et al 2021), particle swarm optimization (Liu et al 2019a), algorithm solvers (Ma et al 2018), and novel algorithms developed by researchers (Ma et al 2021;Rausch et al 2021). Topic 3: Optimization-Based Information Technologies.…”

Section: Topic Analysismentioning

confidence: 99%

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

Luan

Yin

et al. 2022

J. Constr. Eng. Manage.

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Many countries and regions consider off-site construction a modern construction method that facilitates sustainability in the construction industry. Sustainability research in off-site construction (SROSC) is crucial for its development and is a nonnegligible part of its management. However, an in-depth understanding and critical analysis of SROSC to summarize recent research and inform future research directions are lacking. In this study, we address this issue by offering a mixed-review method integrating scientometric analysis and systematic review to explore state-of-the-art SROSC. We aim to uncover sustainability themes and topics, distinguish research trends, and identify gaps in knowledge that can be addressed in future research. Scientometric analysis was used to perform statistical analysis and visual map research on the knowledge landscape formed by 272 related studies of SROSC. The systematic review was used to identify and analyze six major knowledge themes (e.g., environmental, economic, social, decision-making, optimization, and industry management) and 21 knowledge topics for SROSC. We proposed possible future research directions based on the resulting structured body of knowledge. This research contributes to the body of knowledge by visualizing and analyzing the state-of-the-art of SROSC, as well as identifying the future research directions in this area to improve architectural, engineering, and construction practices.

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“…2. When the old individual is eliminated, a new individual is produced by it through non-uniform mutation (Chauhan et al, 2021;Ma, 2021). This method has a strong capability of global search in the early stage, and changes to local fine search in the later stage.…”

Section: Genetic Algorithm Based On Telomere Operatormentioning

confidence: 99%

TGA-based solutions map method for four-position synthesis of planar 4R linkage

Zhao

Xue²,

Wang³

et al. 2022

Mech. Sci.

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Abstract. In this study, the authors propose a solutions map based on a telomere genetic algorithm (TGA) to improve the efficiency of 4R-linkage synthesis. First, the points on the center curve are obtained by using projective geometry, and those of the circle curve are obtained by vector elimination. Second, the definition of the linkage type, assessment of linkage performance, and a method to identify defects in the linkage are introduced. Third, the solutions map method is proposed that can map the linkage solutions obtained by all combinations of the points on the center curve to a 3D color-coded surface to represent the distribution of solutions with different attributes of linkages in the solution domain. Fourth, we use the proposed telomere operator and pseudo-histogram method to improve the traditional genetic algorithm, and expand the domain of solutions of the solutions map by using the TGA. Finally, the linkage synthesis software BurLink is developed based on the solutions map method. The results show that the TGA-based solutions map can quickly locate the required 4R-linkage solution in the solution domain, and provides engineers with more candidate solutions than traditional methods.

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Component-level construction schedule optimization for hybrid concrete structures

Cited by 15 publications

References 27 publications

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

Scheduling Optimization of Prefabricated Construction Projects by Genetic Algorithm

Understanding Sustainability in Off-Site Construction Management: State of the Art and Future Directions

TGA-based solutions map method for four-position synthesis of planar 4R linkage

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