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Research On Resource Balance Of Prefabricated Building Project Based On Improved Genetic Algorithm

Posted on:2020-12-02Degree:MasterType:Thesis
Country:ChinaCandidate:M T ZhangFull Text:PDF
GTID:2392330632952112Subject:Architecture and civil engineering
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Prefabricated building refers to a building that assembles components prefabricated in factories at the construction site.In recent years,great efforts have been made to promote fabricated buildings,which has brought about major changes in the production mode of the construction industry.This construction method reduces the environmental pollution caused by on-site construction,at the same time,it can save resource consumption and promote the improvement of labor production efficiency.The development of prefabricated buildings has promoted the integration of construction industry and industrial informatization more closely,sprouting new industries and eliminating excess production capacity.However,in view of the current development situation,the popularization of prefabricated buildings in China is relatively slow.The main reason is that compared with the traditional cast-in-place method,there is no obvious advantage.The fabricated project scheduling process lacks operability and changes greatly.When implementing the project scheduling plan,the execution time and resource constraints of various work tasks are ignored,resulting in long overall project construction period,high capital cost and other problems,which limit the development of fabricated buildings.Therefore,in the process of designing the assembly project scheduling plan,the logical constraints of each task in the project are deeply studied,the existing resource quantity is considered,and a fast and effective scheduling method is selected to promote the development of the assembly building.In this paper,the resource scheduling problem of prefabricated buildings is studied,and themulti-mode management characteristics of prefabricated buildings are compared and analyzed by summarizing the three project processes of prefabricated components production,transportation and assembly.According to the multi-dimensional and multi-related characteristics of prefabricated building operation space,combined with the classical project resource scheduling theory,the overall coordinated scheduling of prefabricated project resources is carried out.The main research content of this paper is to take assembly space operation as the leading factor,the non-critical work of the project as the breakthrough point,considering the actual starting time of non-critical work,to establish the resource allocation constraint optimization model of fabricated construction projects,and to study the human resource allocation problem of fabricated construction projects with minimizing the variance of resource allocation as the optimization goal.At the same time,the improved genetic algorithm is used to solve the relevant human resource allocation model to avoid the problem that the algorithm enters local optimization or the search accuracy is low.Finally,combined with an actual prefabricated construction project,the human resource allocation model of the prefabricated construction project is numerically calculated,and the results calculated by the improved genetic algorithm.the project initialization and the minimum variance method are compared,showing the superiority of the algorithm applied in this paper.According to the research results in this paper,it is shown that the algorithm has more obvious advantages while the complexity of project scheduling increases.At the same time,reasonable and constructive suggestions are put forward for scheduling resource management and schedule optimization of fabricated residential projects.that the effect of schedule optimization becomes much more obvious,and relevant conclusions can provide reasonable and constructive advice for resource management for the assembly of residential projects.
Keywords/Search Tags:prefabricated building, resource scheduling, resource balance, minimum variance method, improved genetic algorithm
PDF Full Text Request
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